Merge pull request #79 from pythonbpf/dependabot/github_actions/actions-c2e7f7cad0

Bump the actions group with 2 updates
2025-12-31 21:06:25 +00:00 · 2025-12-25 17:40:36 +05:30 · 2025-12-15 10:24:00 +00:00 · 2025-12-09 00:36:50 +05:30 · 2025-12-08 21:41:52 +05:30 · 2025-12-08 21:39:50 +05:30
23 changed files with 1976 additions and 49 deletions
--- a/.github/workflows/python-publish.yml
+++ b/.github/workflows/python-publish.yml
@ -33,7 +33,7 @@ jobs:
          python -m build

      - name: Upload distributions
-        uses: actions/upload-artifact@v5
+        uses: actions/upload-artifact@v6
        with:
          name: release-dists
          path: dist/
@ -59,7 +59,7 @@ jobs:

    steps:
      - name: Retrieve release distributions
-        uses: actions/download-artifact@v6
+        uses: actions/download-artifact@v7
        with:
          name: release-dists
          path: dist/
--- a/BCC-Examples/README.md
+++ b/BCC-Examples/README.md
@ -7,14 +7,25 @@ This folder contains examples of BCC tutorial examples that have been ported to
 - You will also need `matplotlib` for vfsreadlat.py example.
 - You will also need `rich` for vfsreadlat_rich.py example.
 - You will also need `plotly` and `dash` for vfsreadlat_plotly.py example.
+- All of these are added to `requirements.txt` file. You can install them using the following command:
+  ```bash
+  pip install -r requirements.txt
+  ```

 ## Usage
 - You'll need root privileges to run these examples. If you are using a virtualenv, use the following command to run the scripts:
  ```bash
  sudo <path_to_virtualenv>/bin/python3 <script_name>.py
  ```
+- For the disksnoop and container-monitor examples, you need to generate the vmlinux.py file first. Follow the instructions in the [main README](https://github.com/pythonbpf/Python-BPF/tree/master?tab=readme-ov-file#first-generate-the-vmlinuxpy-file-for-your-kernel) to generate the vmlinux.py file.
 - For vfsreadlat_plotly.py, run the following command to start the Dash server:
  ```bash
  sudo <path_to_virtualenv>/bin/python3 vfsreadlat_plotly/bpf_program.py
  ```
  Then open your web browser and navigate to the given URL.
+- For container-monitor, you need to first copy the vmlinux.py to `container-monitor/` directory.
+  Then run the following command to run the example:
+  ```bash
+    cp vmlinux.py container-monitor/
+    sudo <path_to_virtualenv>/bin/python3 container-monitor/container_monitor.py
+  ```
--- a/BCC-Examples/disksnoop.py
+++ b/BCC-Examples/disksnoop.py
@ -1,12 +1,10 @@
-from vmlinux import struct_request, struct_pt_regs
-from pythonbpf import bpf, section, bpfglobal, compile_to_ir, compile, map
+from ctypes import c_int32, c_int64, c_uint64
+
+from vmlinux import struct_pt_regs, struct_request
+
+from pythonbpf import bpf, bpfglobal, compile, map, section
 from pythonbpf.helper import ktime
 from pythonbpf.maps import HashMap
-import logging
-from ctypes import c_int64, c_uint64, c_int32
-
-# Constants
-REQ_WRITE = 1  # from include/linux/blk_types.h


@bpf
@ -18,24 +16,15 @@ def start() -> HashMap:
@bpf
@section("kprobe/blk_mq_end_request")
 def trace_completion(ctx: struct_pt_regs) -> c_int64:
-    # Get request pointer from first argument
    req_ptr = ctx.di
    req = struct_request(ctx.di)
-    # Print: data_len, cmd_flags, latency_us
    data_len = req.__data_len
    cmd_flags = req.cmd_flags
-    # Lookup start timestamp
    req_tsp = start.lookup(req_ptr)
    if req_tsp:
-        # Calculate delta in nanoseconds
        delta = ktime() - req_tsp
-
-        # Convert to microseconds for printing
        delta_us = delta // 1000
-
        print(f"{data_len} {cmd_flags:x} {delta_us}\n")
-
-        # Delete the entry
        start.delete(req_ptr)

    return c_int64(0)
@ -56,6 +45,4 @@ def LICENSE() -> str:
    return "GPL"


-if __name__ == "__main__":
-    compile_to_ir("disksnoop.py", "disksnoop.ll", loglevel=logging.INFO)
-    compile()
+compile()
--- a/BCC-Examples/requirements.txt
+++ b/BCC-Examples/requirements.txt
@ -0,0 +1,9 @@
+# =============================================================================
+# Requirements for PythonBPF BCC-Examples
+# =============================================================================
+
+dash
+matplotlib
+numpy
+plotly
+rich
--- a/README.md
+++ b/README.md
@ -40,16 +40,11 @@ Python-BPF is an LLVM IR generator for eBPF programs written in Python. It uses

 ---

-## Try It Out!
-Run
-```bash
-curl -s https://raw.githubusercontent.com/pythonbpf/Python-BPF/refs/heads/master/tools/setup.sh | sudo bash
-```
-
 ## Installation

 Dependencies:

+* `bpftool`
 * `clang`
 * Python ≥ 3.8

@ -61,6 +56,38 @@ pip install pythonbpf pylibbpf

 ---

+## Try It Out!
+
+#### First, generate the vmlinux.py file for your kernel:
+- Install the required dependencies:
+- On Ubuntu:
+```bash
+sudo apt-get install bpftool clang
+pip install pythonbpf pylibbpf ctypeslib2
+```
+- Generate the `vmlinux.py` using:
+```bash
+sudo tools/vmlinux-gen.py
+```
+- Copy this file to `BCC-Examples/`
+
+#### Next, install requirements for BCC-Examples:
+- These requirements are only required for the python notebooks, vfsreadlat and container-monitor examples.
+```bash
+pip install -r BCC-Examples/requirements.txt
+```
+- Now, follow the instructions in the [BCC-Examples/README.md](https://github.com/pythonbpf/Python-BPF/blob/master/BCC-Examples/README.md) to run the examples.
+
+
+#### To spin up jupyter notebook examples:
+- Run and follow the instructions on screen
+```bash
+curl -s https://raw.githubusercontent.com/pythonbpf/Python-BPF/refs/heads/master/tools/setup.sh | sudo bash
+```
+- Check the jupyter server on the web browser and run the notebooks in the `BCC-Examples/` folder.
+
+---
+
 ## Example Usage

 ```python
@ -88,16 +115,15 @@ def hist() -> HashMap:
@section("tracepoint/syscalls/sys_enter_clone")
 def hello(ctx: c_void_p) -> c_int64:
    process_id = pid()
-    one = 1
    prev = hist.lookup(process_id)
    if prev:
        previous_value = prev + 1
        print(f"count: {previous_value} with {process_id}")
        hist.update(process_id, previous_value)
-        return c_int64(0)
+        return 0
    else:
-        hist.update(process_id, one)
-    return c_int64(0)
+        hist.update(process_id, 1)
+    return 0


@bpf
--- a/blazesym-example/Cargo.lock
+++ b/blazesym-example/Cargo.lock
@ -0,0 +1,405 @@
+# This file is automatically @generated by Cargo.
+# It is not intended for manual editing.
+version = 4
+
+[[package]]
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+version = "2.0.1"
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+
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+checksum = "43d5b281e737544384e969a5ccad3f1cdd24b48086a0fc1b2a5262a26b8f4f4a"
+dependencies = [
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+ "anstyle-parse",
+ "anstyle-query",
+ "anstyle-wincon",
+ "colorchoice",
+ "is_terminal_polyfill",
+ "utf8parse",
+]
+
+[[package]]
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+version = "1.0.13"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "5192cca8006f1fd4f7237516f40fa183bb07f8fbdfedaa0036de5ea9b0b45e78"
+
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+checksum = "4e7644824f0aa2c7b9384579234ef10eb7efb6a0deb83f9630a49594dd9c15c2"
+dependencies = [
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+dependencies = [
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--- a/blazesym-example/Cargo.toml
+++ b/blazesym-example/Cargo.toml
@ -0,0 +1,14 @@
+[package]
+name = "blazesym-example"
+version = "0.1.0"
+edition = "2024"
+
+[dependencies]
+libbpf-rs = "0.24"
+blazesym = "0.2.0-rc.4"
+anyhow = "1.0"
+clap = { version = "4.5", features = ["derive"] }
+libc = "0.2"
+plain = "0.2"
+
+[build-dependencies]
--- a/blazesym-example/src/main.rs
+++ b/blazesym-example/src/main.rs
@ -0,0 +1,333 @@
+// src/main.rs - Fixed imports and error handling
+use std::mem;
+use std::path::PathBuf;
+use std::time::Duration;
+
+use anyhow::{anyhow, Context, Result};
+use blazesym::symbolize::{CodeInfo, Input, Symbolized, Symbolizer};
+use blazesym::symbolize::source::{Source, Kernel, Process};
+use clap::Parser;
+use libbpf_rs::{MapCore, ObjectBuilder, RingBufferBuilder};  // Added MapCore
+
+// Match your Python struct exactly
+#[repr(C)]
+#[derive(Debug, Copy, Clone)]
+struct ExecEvent {
+    pid: i64,
+    cpu: i32,
+    timestamp: i64,
+    comm: [u8; 16],
+    kstack_sz: i64,
+    ustack_sz: i64,
+    kstack: [u8; 128],  // str(128) in Python
+    ustack: [u8; 128],  // str(128) in Python
+}
+
+unsafe impl plain::Plain for ExecEvent {}
+
+// Define perf_event constants (not in libc on all platforms)
+const PERF_TYPE_HARDWARE: u32 = 0;
+const PERF_TYPE_SOFTWARE: u32 = 1;
+const PERF_COUNT_HW_CPU_CYCLES: u64 = 0;
+const PERF_COUNT_SW_CPU_CLOCK: u64 = 0;
+
+#[repr(C)]
+struct PerfEventAttr {
+    type_: u32,
+    size: u32,
+    config: u64,
+    sample_period_or_freq: u64,
+    sample_type: u64,
+    read_format: u64,
+    flags: u64,
+    // ... rest can be zeroed
+    _padding: [u64; 64],
+}
+
+#[derive(Parser, Debug)]
+struct Args {
+    /// Path to the BPF object file
+    #[arg(default_value = "stack_traces.o")]
+    object_file: PathBuf,
+
+    /// Sampling frequency
+    #[arg(short, long, default_value_t = 50)]
+    freq: u64,
+
+    /// Use software events
+    #[arg(long)]
+    sw_event: bool,
+
+    /// Verbose output
+    #[arg(short, long)]
+    verbose: bool,
+}
+
+fn open_perf_event(cpu: i32, freq: u64, sw_event: bool) -> Result<i32> {
+    let mut attr: PerfEventAttr = unsafe { mem::zeroed() };
+
+    attr.size = mem::size_of::<PerfEventAttr>() as u32;
+    attr.type_ = if sw_event {
+        PERF_TYPE_SOFTWARE
+    } else {
+        PERF_TYPE_HARDWARE
+    };
+    attr.config = if sw_event {
+        PERF_COUNT_SW_CPU_CLOCK
+    } else {
+        PERF_COUNT_HW_CPU_CYCLES
+    };
+
+    // Use frequency-based sampling
+    attr.sample_period_or_freq = freq;
+    attr.flags = 1 << 10; // freq = 1, disabled = 1
+
+    let fd = unsafe {
+        libc::syscall(
+            libc::SYS_perf_event_open,
+            &attr as *const _,
+            -1,      // pid = -1 (all processes)
+            cpu,     // cpu
+            -1,      // group_fd
+            0,       // flags
+        )
+    };
+
+    if fd < 0 {
+        Err(anyhow!("Failed to open perf event on CPU {}: {}", cpu,
+                    std::io::Error::last_os_error()))
+    } else {
+        Ok(fd as i32)
+    }
+}
+
+fn print_stack_trace(
+    addrs: &[u64],
+    symbolizer: &Symbolizer,
+    pid: u32,
+    is_kernel: bool,
+) {
+    if addrs.is_empty() {
+        return;
+    }
+
+    let src = if is_kernel {
+        Source::Kernel(Kernel::default())
+    } else {
+        Source::Process(Process::new(pid.into()))
+    };
+
+    let syms = match symbolizer.symbolize(&src, Input::AbsAddr(addrs)) {
+        Ok(syms) => syms,
+        Err(e) => {
+            eprintln!("  Failed to symbolize: {}", e);
+            for addr in addrs {
+                println!("0x{:016x}: <no-symbol>", addr);
+            }
+            return;
+        }
+    };
+
+    for (addr, sym) in addrs.iter().zip(syms.iter()) {
+        match sym {
+            Symbolized::Sym(sym_info) => {
+                print!("0x{:016x}: {} @ 0x{:x}+0x{:x}",
+                       addr, sym_info.name, sym_info.addr, sym_info.offset);
+
+                if let Some(ref code_info) = sym_info.code_info {
+                    print_code_info(code_info);
+                }
+                println!();
+
+                // Print inlined frames
+                for inlined in &sym_info.inlined {
+                    print!("                  {} (inlined)", inlined.name);
+                    if let Some(ref code_info) = inlined.code_info {
+                        print_code_info(code_info);
+                    }
+                    println!();
+                }
+            }
+            Symbolized::Unknown(..) => {
+                println!("0x{:016x}: <no-symbol>", addr);
+            }
+        }
+    }
+}
+
+fn print_code_info(code_info: &CodeInfo) {
+    let path = code_info.to_path();
+    let path_str = path.display();
+
+    match (code_info.line, code_info.column) {
+        (Some(line), Some(col)) => print!(" {}:{}:{}", path_str, line, col),
+        (Some(line), None) => print!(" {}:{}", path_str, line),
+        (None, _) => print!(" {}", path_str),
+    }
+}
+
+fn handle_event(symbolizer: &Symbolizer, data: &[u8]) -> i32 {
+    let event = plain::from_bytes::<ExecEvent>(data).expect("Invalid event data");
+
+    // Extract comm string
+    let comm = std::str::from_utf8(&event.comm)
+        .unwrap_or("<unknown>")
+        .trim_end_matches('\0');
+
+    println!("[{:.9}] COMM: {} (pid={}) @ CPU {}",
+             event.timestamp as f64 / 1_000_000_000.0,
+             comm,
+             event.pid,
+             event.cpu);
+
+    // Handle kernel stack
+    if event.kstack_sz > 0 {
+        println!("Kernel:");
+        let num_frames = (event.kstack_sz / 8) as usize;
+        let kstack_u64 = unsafe {
+            std::slice::from_raw_parts(
+                event.kstack.as_ptr() as *const u64,
+                num_frames.min(16),
+            )
+        };
+
+        // Filter out zero addresses
+        let kstack: Vec<u64> = kstack_u64.iter()
+            .copied()
+            .take_while(|&addr| addr != 0)
+            .collect();
+
+        print_stack_trace(&kstack, symbolizer, 0, true);
+    } else {
+        println!("No Kernel Stack");
+    }
+
+    // Handle user stack
+    if event.ustack_sz > 0 {
+        println!("Userspace:");
+        let num_frames = (event.ustack_sz / 8) as usize;
+        let ustack_u64 = unsafe {
+            std::slice::from_raw_parts(
+                event.ustack.as_ptr() as *const u64,
+                num_frames.min(16),
+            )
+        };
+
+        // Filter out zero addresses
+        let ustack: Vec<u64> = ustack_u64.iter()
+            .copied()
+            .take_while(|&addr| addr != 0)
+            .collect();
+
+        print_stack_trace(&ustack, symbolizer, event.pid as u32, false);
+    } else {
+        println!("No Userspace Stack");
+    }
+
+    println!();
+    0
+}
+
+fn main() -> Result<()> {
+    let args = Args::parse();
+
+    if !args.object_file.exists() {
+        return Err(anyhow!("Object file not found: {:?}", args.object_file));
+    }
+
+    println!("Loading BPF object: {:?}", args.object_file);
+
+    // Load BPF object
+    let mut obj_builder = ObjectBuilder::default();
+    obj_builder.debug(args.verbose);
+
+    let open_obj = obj_builder
+        .open_file(&args.object_file)
+        .context("Failed to open BPF object")?;
+
+    let mut obj = open_obj.load().context("Failed to load BPF object")?;
+
+    println!("✓ BPF object loaded");
+
+    // Find the program
+    let prog = obj
+        .progs_mut()
+        .find(|p| p.name() == "trace_exec_enter")
+        .ok_or_else(|| anyhow!("Program 'trace_exec_enter' not found"))?;
+
+    println!("✓ Found program: trace_exec_enter");
+
+    // Find the map
+    let map = obj
+        .maps()
+        .find(|m| m.name() == "exec_events")
+        .ok_or_else(|| anyhow!("Map 'exec_events' not found"))?;
+
+    println!("✓ Found map: exec_events");
+
+    // Get number of CPUs
+    let num_cpus = libbpf_rs::num_possible_cpus()?;
+    println!("✓ Detected {} CPUs\n", num_cpus);
+
+    // Open perf events and attach BPF program
+    println!("Setting up perf events...");
+    let mut links = Vec::new();
+
+    for cpu in 0..num_cpus {
+        match open_perf_event(cpu as i32, args.freq, args.sw_event) {
+            Ok(perf_fd) => {
+                match prog.attach_perf_event(perf_fd) {
+                    Ok(link) => {
+                        links.push(link);
+                        if args.verbose {
+                            println!("  ✓ Attached to CPU {}", cpu);
+                        }
+                    }
+                    Err(e) => {
+                        eprintln!("  ✗ Failed to attach to CPU {}: {}", cpu, e);
+                        unsafe { libc::close(perf_fd); }
+                    }
+                }
+            }
+            Err(e) => {
+                if args.verbose {
+                    eprintln!("  ✗ Failed to open perf event on CPU {}: {}", cpu, e);
+                }
+            }
+        }
+    }
+
+    println!("✓ Attached to {} CPUs\n", links.len());
+
+    if links.is_empty() {
+        return Err(anyhow!("Failed to attach to any CPU"));
+    }
+
+    // Initialize symbolizer
+    let symbolizer = Symbolizer::new();
+
+    // Set up ring buffer
+    let mut builder = RingBufferBuilder::new();
+
+    builder.add(&map, move |data: &[u8]| -> i32 {
+        handle_event(&symbolizer, data)
+    })?;
+
+    let ringbuf = builder.build()?;
+
+    println!("========================================");
+    println!("Profiling started. Press Ctrl+C to stop.");
+    println!("========================================\n");
+
+    // Poll for events - just keep polling until error
+    loop {
+        if let Err(e) = ringbuf.poll(Duration::from_millis(100)) {
+            // Any error breaks the loop (including Ctrl+C)
+            eprintln!("\nStopping: {}", e);
+            break;
+        }
+    }
+
+    println!("Done.");
+    Ok(())
+}
--- a/blazesym-example/stack_traces.py
+++ b/blazesym-example/stack_traces.py
@ -0,0 +1,49 @@
+# tests/passing_tests/ringbuf_advanced.py
+from pythonbpf import bpf, map, section, bpfglobal, struct, compile
+from pythonbpf.maps import RingBuffer
+from pythonbpf.helper import ktime, pid, smp_processor_id, comm, get_stack
+from ctypes import c_void_p, c_int32, c_int64
+import logging
+
+
+@bpf
+@struct
+class exec_event:
+    pid: c_int64
+    cpu: c_int32
+    timestamp: c_int64
+    comm: str(16)  # type: ignore [valid-type]
+    kstack_sz: c_int64
+    ustack_sz: c_int64
+    kstack: str(128)  # type: ignore [valid-type]
+    ustack: str(128)  # type: ignore [valid-type]
+
+
+@bpf
+@map
+def exec_events() -> RingBuffer:
+    return RingBuffer(max_entries=1048576)
+
+
+@bpf
+@section("perf_event")
+def trace_exec_enter(ctx: c_void_p) -> c_int64:
+    evt = exec_event()
+    evt.pid = pid()
+    evt.cpu = smp_processor_id()
+    evt.timestamp = ktime()
+    comm(evt.comm)
+    evt.kstack_sz = get_stack(evt.kstack)
+    evt.ustack_sz = get_stack(evt.ustack, 256)
+    exec_events.output(evt)
+    print(f"Submitted exec_event for pid: {evt.pid}, cpu: {evt.cpu}")
+    return 0  # type: ignore [return-value]
+
+
+@bpf
+@bpfglobal
+def LICENSE() -> str:
+    return "GPL"
+
+
+compile(logging.INFO)
--- a/examples/anomaly-detection/lib/init.py
+++ b/examples/anomaly-detection/lib/init.py
@ -0,0 +1,22 @@
+"""
+Process Anomaly Detection - Constants and Utilities
+"""
+
+import logging
+
+logger = logging.getLogger(__name__)
+MAX_SYSCALLS = 548
+
+
+def comm_for_pid(pid: int) -> bytes | None:
+    """Get process name from /proc."""
+    try:
+        with open(f"/proc/{pid}/comm", "rb") as f:
+            return f.read().strip()
+    except FileNotFoundError:
+        logger.warning(f"Process with PID {pid} not found.")
+    except PermissionError:
+        logger.warning(f"Permission denied when accessing /proc/{pid}/comm.")
+    except Exception as e:
+        logger.warning(f"Error reading /proc/{pid}/comm: {e}")
+    return None
--- a/examples/anomaly-detection/lib/ml.py
+++ b/examples/anomaly-detection/lib/ml.py
@ -0,0 +1,173 @@
+"""
+Autoencoder for Process Behavior Anomaly Detection
+
+Uses Keras/TensorFlow to train an autoencoder on syscall patterns.
+Anomalies are detected when reconstruction error exceeds threshold.
+"""
+
+import logging
+import os
+
+import numpy as np
+import pandas as pd
+from sklearn.model_selection import train_test_split
+from tensorflow import keras
+
+from lib import MAX_SYSCALLS
+
+logger = logging.getLogger(__name__)
+
+
+def create_autoencoder(n_inputs: int = MAX_SYSCALLS) -> keras.Model:
+    """
+    Create the autoencoder architecture.
+
+    Architecture: input → encoder → bottleneck → decoder → output
+    """
+    inp = keras.Input(shape=(n_inputs,))
+
+    # Encoder
+    encoder = keras.layers.Dense(n_inputs)(inp)
+    encoder = keras.layers.ReLU()(encoder)
+
+    # Bottleneck (compressed representation)
+    bottleneck = keras.layers.Dense(n_inputs // 2)(encoder)
+
+    # Decoder
+    decoder = keras.layers.Dense(n_inputs)(bottleneck)
+    decoder = keras.layers.ReLU()(decoder)
+    output = keras.layers.Dense(n_inputs, activation="linear")(decoder)
+
+    model = keras.Model(inp, output)
+    model.compile(optimizer="adam", loss="mse")
+
+    return model
+
+
+class AutoEncoder:
+    """
+    Autoencoder for syscall pattern anomaly detection.
+
+    Usage:
+        # Training
+        ae = AutoEncoder('model.keras')
+        model, threshold = ae.train('data.csv', epochs=200)
+
+        # Inference
+        ae = AutoEncoder('model.keras', load=True)
+        _, errors, total_error = ae.predict([features])
+    """
+
+    def __init__(self, filename: str, load: bool = False):
+        self.filename = filename
+        self.model = None
+
+        if load:
+            self._load_model()
+
+    def _load_model(self) -> None:
+        """Load a trained model from disk."""
+        if not os.path.exists(self.filename):
+            raise FileNotFoundError(f"Model file not found: {self.filename}")
+
+        logger.info(f"Loading model from {self.filename}")
+        self.model = keras.models.load_model(self.filename)
+
+    def train(
+        self,
+        datafile: str,
+        epochs: int,
+        batch_size: int,
+        test_size: float = 0.1,
+    ) -> tuple[keras.Model, float]:
+        """
+        Train the autoencoder on collected data.
+
+        Args:
+            datafile: Path to CSV file with training data
+            epochs: Number of training epochs
+            batch_size: Training batch size
+            test_size: Fraction of data to use for validation
+
+        Returns:
+            Tuple of (trained model, error threshold)
+        """
+        if not os.path.exists(datafile):
+            raise FileNotFoundError(f"Data file not found: {datafile}")
+
+        logger.info(f"Loading training data from {datafile}")
+
+        # Load and prepare data
+        df = pd.read_csv(datafile)
+        features = df.drop(["sample_time"], axis=1).values
+
+        logger.info(f"Loaded {len(features)} samples with {features.shape[1]} features")
+
+        # Split train/test
+        train_data, test_data = train_test_split(
+            features,
+            test_size=test_size,
+            random_state=42,
+        )
+
+        logger.info(f"Training set: {len(train_data)} samples")
+        logger.info(f"Test set: {len(test_data)} samples")
+
+        # Create and train model
+        self.model = create_autoencoder()
+
+        if self.model is None:
+            raise RuntimeError("Failed to create the autoencoder model.")
+
+        logger.info("Training autoencoder...")
+        self.model.fit(
+            train_data,
+            train_data,
+            validation_data=(test_data, test_data),
+            epochs=epochs,
+            batch_size=batch_size,
+            verbose=1,
+        )
+
+        # Save model (use .keras format for Keras 3.x compatibility)
+        self.model.save(self.filename)
+        logger.info(f"Model saved to {self.filename}")
+
+        # Calculate error threshold from test data
+        threshold = self._calculate_threshold(test_data)
+
+        return self.model, threshold
+
+    def _calculate_threshold(self, test_data: np.ndarray) -> float:
+        """Calculate error threshold from test data."""
+        logger.info(f"Calculating error threshold from {len(test_data)} test samples")
+
+        if self.model is None:
+            raise RuntimeError("Model not loaded. Use load=True or train first.")
+
+        predictions = self.model.predict(test_data, verbose=0)
+        errors = np.abs(test_data - predictions).sum(axis=1)
+
+        return float(errors.max())
+
+    def predict(self, X: list | np.ndarray) -> tuple[np.ndarray, np.ndarray, float]:
+        """
+        Run prediction and return reconstruction error.
+
+        Args:
+            X: Input data (list of feature vectors)
+
+        Returns:
+            Tuple of (reconstructed, per_feature_errors, total_error)
+        """
+        if self.model is None:
+            raise RuntimeError("Model not loaded. Use load=True or train first.")
+
+        X = np.asarray(X, dtype=np.float32)
+        y = self.model.predict(X, verbose=0)
+
+        # Per-feature reconstruction error
+        errors = np.abs(X[0] - y[0])
+        total_error = float(errors.sum())
+
+        return y, errors, total_error
--- a/examples/anomaly-detection/lib/platform.py
+++ b/examples/anomaly-detection/lib/platform.py
@ -0,0 +1,448 @@
+# Copyright 2017 Sasha Goldshtein
+# Copyright 2018 Red Hat, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+syscall.py contains functions useful for mapping between syscall names and numbers
+"""
+
+# Syscall table for Linux x86_64, not very recent. Automatically generated from
+# https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git/tree/arch/x86/entry/syscalls/syscall_64.tbl?h=linux-6.17.y
+# using the following command:
+#
+# cat arch/x86/entry/syscalls/syscall_64.tbl \
+#     | awk 'BEGIN    { print "syscalls = {"         }
+#            /^[0-9]/ { print "    "$1": b\""$3"\"," }
+#            END      { print "}"                    }'
+
+SYSCALLS = {
+    0: b"read",
+    1: b"write",
+    2: b"open",
+    3: b"close",
+    4: b"stat",
+    5: b"fstat",
+    6: b"lstat",
+    7: b"poll",
+    8: b"lseek",
+    9: b"mmap",
+    10: b"mprotect",
+    11: b"munmap",
+    12: b"brk",
+    13: b"rt_sigaction",
+    14: b"rt_sigprocmask",
+    15: b"rt_sigreturn",
+    16: b"ioctl",
+    17: b"pread64",
+    18: b"pwrite64",
+    19: b"readv",
+    20: b"writev",
+    21: b"access",
+    22: b"pipe",
+    23: b"select",
+    24: b"sched_yield",
+    25: b"mremap",
+    26: b"msync",
+    27: b"mincore",
+    28: b"madvise",
+    29: b"shmget",
+    30: b"shmat",
+    31: b"shmctl",
+    32: b"dup",
+    33: b"dup2",
+    34: b"pause",
+    35: b"nanosleep",
+    36: b"getitimer",
+    37: b"alarm",
+    38: b"setitimer",
+    39: b"getpid",
+    40: b"sendfile",
+    41: b"socket",
+    42: b"connect",
+    43: b"accept",
+    44: b"sendto",
+    45: b"recvfrom",
+    46: b"sendmsg",
+    47: b"recvmsg",
+    48: b"shutdown",
+    49: b"bind",
+    50: b"listen",
+    51: b"getsockname",
+    52: b"getpeername",
+    53: b"socketpair",
+    54: b"setsockopt",
+    55: b"getsockopt",
+    56: b"clone",
+    57: b"fork",
+    58: b"vfork",
+    59: b"execve",
+    60: b"exit",
+    61: b"wait4",
+    62: b"kill",
+    63: b"uname",
+    64: b"semget",
+    65: b"semop",
+    66: b"semctl",
+    67: b"shmdt",
+    68: b"msgget",
+    69: b"msgsnd",
+    70: b"msgrcv",
+    71: b"msgctl",
+    72: b"fcntl",
+    73: b"flock",
+    74: b"fsync",
+    75: b"fdatasync",
+    76: b"truncate",
+    77: b"ftruncate",
+    78: b"getdents",
+    79: b"getcwd",
+    80: b"chdir",
+    81: b"fchdir",
+    82: b"rename",
+    83: b"mkdir",
+    84: b"rmdir",
+    85: b"creat",
+    86: b"link",
+    87: b"unlink",
+    88: b"symlink",
+    89: b"readlink",
+    90: b"chmod",
+    91: b"fchmod",
+    92: b"chown",
+    93: b"fchown",
+    94: b"lchown",
+    95: b"umask",
+    96: b"gettimeofday",
+    97: b"getrlimit",
+    98: b"getrusage",
+    99: b"sysinfo",
+    100: b"times",
+    101: b"ptrace",
+    102: b"getuid",
+    103: b"syslog",
+    104: b"getgid",
+    105: b"setuid",
+    106: b"setgid",
+    107: b"geteuid",
+    108: b"getegid",
+    109: b"setpgid",
+    110: b"getppid",
+    111: b"getpgrp",
+    112: b"setsid",
+    113: b"setreuid",
+    114: b"setregid",
+    115: b"getgroups",
+    116: b"setgroups",
+    117: b"setresuid",
+    118: b"getresuid",
+    119: b"setresgid",
+    120: b"getresgid",
+    121: b"getpgid",
+    122: b"setfsuid",
+    123: b"setfsgid",
+    124: b"getsid",
+    125: b"capget",
+    126: b"capset",
+    127: b"rt_sigpending",
+    128: b"rt_sigtimedwait",
+    129: b"rt_sigqueueinfo",
+    130: b"rt_sigsuspend",
+    131: b"sigaltstack",
+    132: b"utime",
+    133: b"mknod",
+    134: b"uselib",
+    135: b"personality",
+    136: b"ustat",
+    137: b"statfs",
+    138: b"fstatfs",
+    139: b"sysfs",
+    140: b"getpriority",
+    141: b"setpriority",
+    142: b"sched_setparam",
+    143: b"sched_getparam",
+    144: b"sched_setscheduler",
+    145: b"sched_getscheduler",
+    146: b"sched_get_priority_max",
+    147: b"sched_get_priority_min",
+    148: b"sched_rr_get_interval",
+    149: b"mlock",
+    150: b"munlock",
+    151: b"mlockall",
+    152: b"munlockall",
+    153: b"vhangup",
+    154: b"modify_ldt",
+    155: b"pivot_root",
+    156: b"_sysctl",
+    157: b"prctl",
+    158: b"arch_prctl",
+    159: b"adjtimex",
+    160: b"setrlimit",
+    161: b"chroot",
+    162: b"sync",
+    163: b"acct",
+    164: b"settimeofday",
+    165: b"mount",
+    166: b"umount2",
+    167: b"swapon",
+    168: b"swapoff",
+    169: b"reboot",
+    170: b"sethostname",
+    171: b"setdomainname",
+    172: b"iopl",
+    173: b"ioperm",
+    174: b"create_module",
+    175: b"init_module",
+    176: b"delete_module",
+    177: b"get_kernel_syms",
+    178: b"query_module",
+    179: b"quotactl",
+    180: b"nfsservctl",
+    181: b"getpmsg",
+    182: b"putpmsg",
+    183: b"afs_syscall",
+    184: b"tuxcall",
+    185: b"security",
+    186: b"gettid",
+    187: b"readahead",
+    188: b"setxattr",
+    189: b"lsetxattr",
+    190: b"fsetxattr",
+    191: b"getxattr",
+    192: b"lgetxattr",
+    193: b"fgetxattr",
+    194: b"listxattr",
+    195: b"llistxattr",
+    196: b"flistxattr",
+    197: b"removexattr",
+    198: b"lremovexattr",
+    199: b"fremovexattr",
+    200: b"tkill",
+    201: b"time",
+    202: b"futex",
+    203: b"sched_setaffinity",
+    204: b"sched_getaffinity",
+    205: b"set_thread_area",
+    206: b"io_setup",
+    207: b"io_destroy",
+    208: b"io_getevents",
+    209: b"io_submit",
+    210: b"io_cancel",
+    211: b"get_thread_area",
+    212: b"lookup_dcookie",
+    213: b"epoll_create",
+    214: b"epoll_ctl_old",
+    215: b"epoll_wait_old",
+    216: b"remap_file_pages",
+    217: b"getdents64",
+    218: b"set_tid_address",
+    219: b"restart_syscall",
+    220: b"semtimedop",
+    221: b"fadvise64",
+    222: b"timer_create",
+    223: b"timer_settime",
+    224: b"timer_gettime",
+    225: b"timer_getoverrun",
+    226: b"timer_delete",
+    227: b"clock_settime",
+    228: b"clock_gettime",
+    229: b"clock_getres",
+    230: b"clock_nanosleep",
+    231: b"exit_group",
+    232: b"epoll_wait",
+    233: b"epoll_ctl",
+    234: b"tgkill",
+    235: b"utimes",
+    236: b"vserver",
+    237: b"mbind",
+    238: b"set_mempolicy",
+    239: b"get_mempolicy",
+    240: b"mq_open",
+    241: b"mq_unlink",
+    242: b"mq_timedsend",
+    243: b"mq_timedreceive",
+    244: b"mq_notify",
+    245: b"mq_getsetattr",
+    246: b"kexec_load",
+    247: b"waitid",
+    248: b"add_key",
+    249: b"request_key",
+    250: b"keyctl",
+    251: b"ioprio_set",
+    252: b"ioprio_get",
+    253: b"inotify_init",
+    254: b"inotify_add_watch",
+    255: b"inotify_rm_watch",
+    256: b"migrate_pages",
+    257: b"openat",
+    258: b"mkdirat",
+    259: b"mknodat",
+    260: b"fchownat",
+    261: b"futimesat",
+    262: b"newfstatat",
+    263: b"unlinkat",
+    264: b"renameat",
+    265: b"linkat",
+    266: b"symlinkat",
+    267: b"readlinkat",
+    268: b"fchmodat",
+    269: b"faccessat",
+    270: b"pselect6",
+    271: b"ppoll",
+    272: b"unshare",
+    273: b"set_robust_list",
+    274: b"get_robust_list",
+    275: b"splice",
+    276: b"tee",
+    277: b"sync_file_range",
+    278: b"vmsplice",
+    279: b"move_pages",
+    280: b"utimensat",
+    281: b"epoll_pwait",
+    282: b"signalfd",
+    283: b"timerfd_create",
+    284: b"eventfd",
+    285: b"fallocate",
+    286: b"timerfd_settime",
+    287: b"timerfd_gettime",
+    288: b"accept4",
+    289: b"signalfd4",
+    290: b"eventfd2",
+    291: b"epoll_create1",
+    292: b"dup3",
+    293: b"pipe2",
+    294: b"inotify_init1",
+    295: b"preadv",
+    296: b"pwritev",
+    297: b"rt_tgsigqueueinfo",
+    298: b"perf_event_open",
+    299: b"recvmmsg",
+    300: b"fanotify_init",
+    301: b"fanotify_mark",
+    302: b"prlimit64",
+    303: b"name_to_handle_at",
+    304: b"open_by_handle_at",
+    305: b"clock_adjtime",
+    306: b"syncfs",
+    307: b"sendmmsg",
+    308: b"setns",
+    309: b"getcpu",
+    310: b"process_vm_readv",
+    311: b"process_vm_writev",
+    312: b"kcmp",
+    313: b"finit_module",
+    314: b"sched_setattr",
+    315: b"sched_getattr",
+    316: b"renameat2",
+    317: b"seccomp",
+    318: b"getrandom",
+    319: b"memfd_create",
+    320: b"kexec_file_load",
+    321: b"bpf",
+    322: b"execveat",
+    323: b"userfaultfd",
+    324: b"membarrier",
+    325: b"mlock2",
+    326: b"copy_file_range",
+    327: b"preadv2",
+    328: b"pwritev2",
+    329: b"pkey_mprotect",
+    330: b"pkey_alloc",
+    331: b"pkey_free",
+    332: b"statx",
+    333: b"io_pgetevents",
+    334: b"rseq",
+    335: b"uretprobe",
+    424: b"pidfd_send_signal",
+    425: b"io_uring_setup",
+    426: b"io_uring_enter",
+    427: b"io_uring_register",
+    428: b"open_tree",
+    429: b"move_mount",
+    430: b"fsopen",
+    431: b"fsconfig",
+    432: b"fsmount",
+    433: b"fspick",
+    434: b"pidfd_open",
+    435: b"clone3",
+    436: b"close_range",
+    437: b"openat2",
+    438: b"pidfd_getfd",
+    439: b"faccessat2",
+    440: b"process_madvise",
+    441: b"epoll_pwait2",
+    442: b"mount_setattr",
+    443: b"quotactl_fd",
+    444: b"landlock_create_ruleset",
+    445: b"landlock_add_rule",
+    446: b"landlock_restrict_self",
+    447: b"memfd_secret",
+    448: b"process_mrelease",
+    449: b"futex_waitv",
+    450: b"set_mempolicy_home_node",
+    451: b"cachestat",
+    452: b"fchmodat2",
+    453: b"map_shadow_stack",
+    454: b"futex_wake",
+    455: b"futex_wait",
+    456: b"futex_requeue",
+    457: b"statmount",
+    458: b"listmount",
+    459: b"lsm_get_self_attr",
+    460: b"lsm_set_self_attr",
+    461: b"lsm_list_modules",
+    462: b"mseal",
+    463: b"setxattrat",
+    464: b"getxattrat",
+    465: b"listxattrat",
+    466: b"removexattrat",
+    467: b"open_tree_attr",
+    468: b"file_getattr",
+    469: b"file_setattr",
+    512: b"rt_sigaction",
+    513: b"rt_sigreturn",
+    514: b"ioctl",
+    515: b"readv",
+    516: b"writev",
+    517: b"recvfrom",
+    518: b"sendmsg",
+    519: b"recvmsg",
+    520: b"execve",
+    521: b"ptrace",
+    522: b"rt_sigpending",
+    523: b"rt_sigtimedwait",
+    524: b"rt_sigqueueinfo",
+    525: b"sigaltstack",
+    526: b"timer_create",
+    527: b"mq_notify",
+    528: b"kexec_load",
+    529: b"waitid",
+    530: b"set_robust_list",
+    531: b"get_robust_list",
+    532: b"vmsplice",
+    533: b"move_pages",
+    534: b"preadv",
+    535: b"pwritev",
+    536: b"rt_tgsigqueueinfo",
+    537: b"recvmmsg",
+    538: b"sendmmsg",
+    539: b"process_vm_readv",
+    540: b"process_vm_writev",
+    541: b"setsockopt",
+    542: b"getsockopt",
+    543: b"io_setup",
+    544: b"io_submit",
+    545: b"execveat",
+    546: b"preadv2",
+    547: b"pwritev2",
+}
--- a/examples/anomaly-detection/lib/probe.py
+++ b/examples/anomaly-detection/lib/probe.py
@ -0,0 +1,117 @@
+"""
+PythonBPF eBPF Probe for Syscall Histogram Collection
+"""
+
+from vmlinux import struct_trace_event_raw_sys_enter
+from pythonbpf import bpf, map, section, bpfglobal, BPF
+from pythonbpf.helper import pid
+from pythonbpf.maps import HashMap
+from ctypes import c_int64
+from lib import MAX_SYSCALLS, comm_for_pid
+
+
+@bpf
+@map
+def histogram() -> HashMap:
+    return HashMap(key=c_int64, value=c_int64, max_entries=1024)
+
+
+@bpf
+@map
+def target_pid_map() -> HashMap:
+    return HashMap(key=c_int64, value=c_int64, max_entries=1)
+
+
+@bpf
+@section("tracepoint/raw_syscalls/sys_enter")
+def trace_syscall(ctx: struct_trace_event_raw_sys_enter) -> c_int64:
+    syscall_id = ctx.id
+    current_pid = pid()
+    target = target_pid_map.lookup(0)
+    if target:
+        if current_pid != target:
+            return 0  # type: ignore
+    if syscall_id < 0 or syscall_id >= 548:
+        return 0  # type: ignore
+    count = histogram.lookup(syscall_id)
+    if count:
+        histogram.update(syscall_id, count + 1)
+    else:
+        histogram.update(syscall_id, 1)
+    return 0  # type: ignore
+
+
+@bpf
+@bpfglobal
+def LICENSE() -> str:
+    return "GPL"
+
+
+ebpf_prog = BPF()
+
+
+class Probe:
+    """
+    Syscall histogram probe for a target process.
+
+    Usage:
+        probe = Probe(target_pid=1234)
+        probe.start()
+        histogram = probe.get_histogram()
+    """
+
+    def __init__(self, target_pid: int, max_syscalls: int = MAX_SYSCALLS):
+        self.target_pid = target_pid
+        self.max_syscalls = max_syscalls
+        self.comm = comm_for_pid(target_pid)
+
+        if self.comm is None:
+            raise ValueError(f"Cannot find process with PID {target_pid}")
+
+        self._bpf = None
+        self._histogram_map = None
+        self._target_map = None
+
+    def start(self):
+        """Compile, load, and attach the BPF probe."""
+        # Compile and load
+        self._bpf = ebpf_prog
+        self._bpf.load()
+        self._bpf.attach_all()
+
+        # Get map references
+        self._histogram_map = self._bpf["histogram"]
+        self._target_map = self._bpf["target_pid_map"]
+
+        # Set target PID in the map
+        self._target_map.update(0, self.target_pid)
+
+        return self
+
+    def get_histogram(self) -> list:
+        """Read current histogram values as a list."""
+        if self._histogram_map is None:
+            raise RuntimeError("Probe not started.  Call start() first.")
+
+        result = [0] * self.max_syscalls
+
+        for syscall_id in range(self.max_syscalls):
+            try:
+                count = self._histogram_map.lookup(syscall_id)
+                if count is not None:
+                    result[syscall_id] = int(count)
+            except Exception:
+                pass
+
+        return result
+
+    def __getitem__(self, syscall_id: int) -> int:
+        """Allow indexing: probe[syscall_id]"""
+        if self._histogram_map is None:
+            raise RuntimeError("Probe not started")
+
+        try:
+            count = self._histogram_map.lookup(syscall_id)
+            return int(count) if count is not None else 0
+        except Exception:
+            return 0
--- a/examples/anomaly-detection/main.py
+++ b/examples/anomaly-detection/main.py
@ -0,0 +1,335 @@
+#!/usr/bin/env python3
+"""
+Process Behavior Anomaly Detection using PythonBPF and Autoencoders
+
+Ported from evilsocket's BCC implementation to PythonBPF.
+https://github.com/evilsocket/ebpf-process-anomaly-detection
+
+Usage:
+    # 1.Learn normal behavior from a process
+    sudo python main.py --learn --pid 1234 --data normal.csv
+
+    # 2.Train the autoencoder (no sudo needed)
+    python main.py --train --data normal.csv --model model.h5
+
+    # 3.Monitor for anomalies
+    sudo python main.py --run --pid 1234 --model model.h5
+"""
+
+import argparse
+import logging
+import os
+import sys
+import time
+from collections import Counter
+
+from lib import MAX_SYSCALLS
+from lib.ml import AutoEncoder
+from lib.platform import SYSCALLS
+from lib.probe import Probe
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
+    datefmt="%Y-%m-%d %H:%M:%S",
+)
+logger = logging.getLogger(__name__)
+
+
+def learn(pid: int, data_path: str, poll_interval_ms: int) -> None:
+    """
+    Capture syscall patterns from target process.
+
+    Args:
+        pid: Target process ID
+        data_path: Path to save CSV data
+        poll_interval_ms: Polling interval in milliseconds
+    """
+    if os.path.exists(data_path):
+        logger.error(
+            f"{data_path} already exists.Delete it or use a different filename."
+        )
+        sys.exit(1)
+
+    try:
+        probe = Probe(pid)
+    except ValueError as e:
+        logger.error(str(e))
+        sys.exit(1)
+
+    probe_comm = probe.comm.decode() if probe.comm else "unknown"
+
+    print(f"📊 Learning from process {pid} ({probe_comm})")
+    print(f"📁 Saving data to {data_path}")
+    print(f"⏱️  Polling interval: {poll_interval_ms}ms")
+    print("Press Ctrl+C to stop...\n")
+
+    probe.start()
+
+    prev_histogram = [0.0] * MAX_SYSCALLS
+    prev_report_time = time.time()
+    sample_count = 0
+    poll_interval_sec = poll_interval_ms / 1000.0
+
+    header = "sample_time," + ",".join(f"sys_{i}" for i in range(MAX_SYSCALLS))
+
+    with open(data_path, "w") as fp:
+        fp.write(header + "\n")
+
+        try:
+            while True:
+                histogram = [float(x) for x in probe.get_histogram()]
+
+                if histogram != prev_histogram:
+                    deltas = _compute_deltas(prev_histogram, histogram)
+                    prev_histogram = histogram.copy()
+
+                    row = f"{time.time()},{','.join(map(str, deltas))}"
+                    fp.write(row + "\n")
+                    fp.flush()
+                    sample_count += 1
+
+                now = time.time()
+                if now - prev_report_time >= 1.0:
+                    print(f"  {sample_count} samples saved...")
+                    prev_report_time = now
+
+                time.sleep(poll_interval_sec)
+
+        except KeyboardInterrupt:
+            print(f"\n✅ Stopped. Saved {sample_count} samples to {data_path}")
+
+
+def train(data_path: str, model_path: str, epochs: int, batch_size: int) -> None:
+    """
+    Train autoencoder on captured data.
+
+    Args:
+        data_path: Path to training CSV data
+        model_path: Path to save trained model
+        epochs: Number of training epochs
+        batch_size: Training batch size
+    """
+    if not os.path.exists(data_path):
+        logger.error(f"Data file {data_path} not found.Run --learn first.")
+        sys.exit(1)
+
+    print(f"🧠 Training autoencoder on {data_path}")
+    print(f"   Epochs: {epochs}")
+    print(f"   Batch size: {batch_size}")
+    print()
+
+    ae = AutoEncoder(model_path)
+    _, threshold = ae.train(data_path, epochs, batch_size)
+
+    print()
+    print("=" * 50)
+    print("✅ Training complete!")
+    print(f"   Model saved to: {model_path}")
+    print(f"   Error threshold: {threshold:.6f}")
+    print()
+    print(f"💡 Use --max-error {threshold:.4f} when running detection")
+    print("=" * 50)
+
+
+def run(pid: int, model_path: str, max_error: float, poll_interval_ms: int) -> None:
+    """
+    Monitor process and detect anomalies.
+
+    Args:
+        pid: Target process ID
+        model_path: Path to trained model
+        max_error: Anomaly detection threshold
+        poll_interval_ms: Polling interval in milliseconds
+    """
+    if not os.path.exists(model_path):
+        logger.error(f"Model file {model_path} not found. Run --train first.")
+        sys.exit(1)
+
+    try:
+        probe = Probe(pid)
+    except ValueError as e:
+        logger.error(str(e))
+        sys.exit(1)
+
+    ae = AutoEncoder(model_path, load=True)
+    probe_comm = probe.comm.decode() if probe.comm else "unknown"
+
+    print(f"🔍 Monitoring process {pid} ({probe_comm}) for anomalies")
+    print(f"   Error threshold: {max_error}")
+    print(f"   Polling interval: {poll_interval_ms}ms")
+    print("Press Ctrl+C to stop...\n")
+
+    probe.start()
+
+    prev_histogram = [0.0] * MAX_SYSCALLS
+    anomaly_count = 0
+    check_count = 0
+    poll_interval_sec = poll_interval_ms / 1000.0
+
+    try:
+        while True:
+            histogram = [float(x) for x in probe.get_histogram()]
+
+            if histogram != prev_histogram:
+                deltas = _compute_deltas(prev_histogram, histogram)
+                prev_histogram = histogram.copy()
+                check_count += 1
+
+                _, feat_errors, total_error = ae.predict([deltas])
+
+                if total_error > max_error:
+                    anomaly_count += 1
+                    _report_anomaly(anomaly_count, total_error, max_error, feat_errors)
+
+            time.sleep(poll_interval_sec)
+
+    except KeyboardInterrupt:
+        print("\n✅ Stopped.")
+        print(f"   Checks performed: {check_count}")
+        print(f"   Anomalies detected: {anomaly_count}")
+
+
+def _compute_deltas(prev: list[float], current: list[float]) -> list[float]:
+    """Compute rate of change between two histograms."""
+    deltas = []
+    for p, c in zip(prev, current):
+        if c != 0.0:
+            delta = 1.0 - (p / c)
+        else:
+            delta = 0.0
+        deltas.append(delta)
+    return deltas
+
+
+def _report_anomaly(
+    count: int,
+    total_error: float,
+    threshold: float,
+    feat_errors: list[float],
+) -> None:
+    """Print anomaly report with top offending syscalls."""
+    print(f"🚨 ANOMALY #{count} detected!")
+    print(f"   Total error: {total_error:.4f} (threshold: {threshold})")
+
+    errors_by_syscall = {idx: err for idx, err in enumerate(feat_errors)}
+    top3 = Counter(errors_by_syscall).most_common(3)
+
+    print("   Top anomalous syscalls:")
+    for idx, err in top3:
+        name = SYSCALLS.get(idx, f"syscall_{idx}")
+        print(f"     • {name!r}: {err:.4f}")
+    print()
+
+
+def parse_args() -> argparse.Namespace:
+    """Parse command line arguments."""
+    parser = argparse.ArgumentParser(
+        description="Process anomaly detection with PythonBPF and Autoencoders",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Examples:
+  # Learn from a process (e.g., Firefox) for a few minutes
+  sudo python main.py --learn --pid $(pgrep -o firefox) --data firefox.csv
+
+  # Train the model (no sudo needed)
+  python main.py --train --data firefox.csv --model firefox.h5
+
+  # Monitor the same process for anomalies
+  sudo python main.py --run --pid $(pgrep -o firefox) --model firefox.h5
+
+  # Full workflow for nginx:
+  sudo python main.py --learn --pid $(pgrep -o nginx) --data nginx_normal.csv
+  python main.py --train --data nginx_normal.csv --model nginx.h5 --epochs 100
+  sudo python main.py --run --pid $(pgrep -o nginx) --model nginx.h5 --max-error 0.05
+        """,
+    )
+
+    actions = parser.add_mutually_exclusive_group()
+    actions.add_argument(
+        "--learn",
+        action="store_true",
+        help="Capture syscall patterns from a process",
+    )
+    actions.add_argument(
+        "--train",
+        action="store_true",
+        help="Train autoencoder on captured data",
+    )
+    actions.add_argument(
+        "--run",
+        action="store_true",
+        help="Monitor process for anomalies",
+    )
+
+    parser.add_argument(
+        "--pid",
+        type=int,
+        default=0,
+        help="Target process ID",
+    )
+    parser.add_argument(
+        "--data",
+        default="data.csv",
+        help="CSV file for training data (default: data.csv)",
+    )
+    parser.add_argument(
+        "--model",
+        default="model.keras",
+        help="Model file path (default: model.h5)",
+    )
+    parser.add_argument(
+        "--time",
+        type=int,
+        default=100,
+        help="Polling interval in milliseconds (default: 100)",
+    )
+    parser.add_argument(
+        "--epochs",
+        type=int,
+        default=200,
+        help="Training epochs (default: 200)",
+    )
+    parser.add_argument(
+        "--batch-size",
+        type=int,
+        default=16,
+        help="Training batch size (default: 16)",
+    )
+    parser.add_argument(
+        "--max-error",
+        type=float,
+        default=0.09,
+        help="Anomaly detection threshold (default: 0.09)",
+    )
+
+    return parser.parse_args()
+
+
+def main() -> None:
+    """Main entry point."""
+    args = parse_args()
+
+    if not any([args.learn, args.train, args.run]):
+        print("No action specified.Use --learn, --train, or --run.")
+        print("Run with --help for usage information.")
+        sys.exit(0)
+
+    if args.learn:
+        if args.pid == 0:
+            logger.error("--pid required for --learn")
+            sys.exit(1)
+        learn(args.pid, args.data, args.time)
+
+    elif args.train:
+        train(args.data, args.model, args.epochs, args.batch_size)
+
+    elif args.run:
+        if args.pid == 0:
+            logger.error("--pid required for --run")
+            sys.exit(1)
+        run(args.pid, args.model, args.max_error, args.time)
+
+
+if __name__ == "__main__":
+    main()
--- a/BCC-Examples/container-monitor/README.md
+++ b/BCC-Examples/container-monitor/README.md
--- a/BCC-Examples/container-monitor/container_monitor.py
+++ b/BCC-Examples/container-monitor/container_monitor.py
--- a/BCC-Examples/container-monitor/data_collection.py
+++ b/BCC-Examples/container-monitor/data_collection.py
--- a/BCC-Examples/container-monitor/tui.py
+++ b/BCC-Examples/container-monitor/tui.py
--- a/BCC-Examples/container-monitor/web_dashboard.py
+++ b/BCC-Examples/container-monitor/web_dashboard.py
--- a/pyproject.toml
+++ b/pyproject.toml
@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"

 [project]
 name = "pythonbpf"
-version = "0.1.7"
+version = "0.1.8"
 description = "Reduced Python frontend for eBPF"
 authors = [
  { name = "r41k0u", email="pragyanshchaturvedi18@gmail.com" },
--- a/pythonbpf/codegen.py
+++ b/pythonbpf/codegen.py
@ -25,7 +25,7 @@ import re

 logger: Logger = logging.getLogger(__name__)

-VERSION = "v0.1.7"
+VERSION = "v0.1.8"


 def finalize_module(original_str):
--- a/tests/c-form/Makefile
+++ b/tests/c-form/Makefile
@ -1,5 +1,5 @@
 BPF_CLANG := clang
-CFLAGS := -emit-llvm -target bpf -c
+CFLAGS := -emit-llvm -target bpf -c -D__TARGET_ARCH_x86

 SRC := $(wildcard *.bpf.c)
 LL := $(SRC:.bpf.c=.bpf.ll)
@ -10,7 +10,7 @@ LL0 := $(SRC:.bpf.c=.bpf.o0.ll)
 all: $(LL) $(OBJ) $(LL0)

 %.bpf.o: %.bpf.c
-	$(BPF_CLANG) -O2 -g -target bpf -c $< -o $@
+	$(BPF_CLANG) -O2 -D__TARGET_ARCH_x86 -g -target bpf -c $< -o $@

 %.bpf.ll: %.bpf.c
 	$(BPF_CLANG) $(CFLAGS) -O2 -g -S $< -o $@
--- a/tests/c-form/xdp_test.bpf.c
+++ b/tests/c-form/xdp_test.bpf.c
@ -1,18 +1,16 @@
-#include <linux/bpf.h>
-#include <linux/if_ether.h>
-#include <linux/ip.h>
+#include "vmlinux.h"
 #include <bpf/bpf_helpers.h>

 struct fake_iphdr {
-    unsigned short useless;
-    unsigned short tot_len;
-    unsigned short id;
-    unsigned short frag_off;
-    unsigned char  ttl;
-    unsigned char  protocol;
-    unsigned short check;
-    unsigned int saddr;
-    unsigned int daddr;
+  unsigned short useless;
+  unsigned short tot_len;
+  unsigned short id;
+  unsigned short frag_off;
+  unsigned char ttl;
+  unsigned char protocol;
+  unsigned short check;
+  unsigned int saddr;
+  unsigned int daddr;
 };

 SEC("xdp")
@ -25,9 +23,9 @@ int xdp_prog(struct xdp_md *ctx) {
  }
  struct fake_iphdr *iph = (void *)data + sizeof(struct ethhdr);

-   bpf_printk("%d", iph->saddr);
+  bpf_printk("%d", iph->saddr);

-   return XDP_PASS;
+  return XDP_PASS;
 }

 char _license[] SEC("license") = "GPL";
Author	SHA1	Message	Date
varunrmallya	ef128f3752	Merge pull request #79 from pythonbpf/dependabot/github_actions/actions-c2e7f7cad0 Bump the actions group with 2 updates	2025-12-25 17:40:36 +05:30
dependabot[bot]	b92208ed0d	Bump the actions group with 2 updates Bumps the actions group with 2 updates: [actions/upload-artifact](https://github.com/actions/upload-artifact) and [actions/download-artifact](https://github.com/actions/download-artifact). Updates `actions/upload-artifact` from 5 to 6 - [Release notes](https://github.com/actions/upload-artifact/releases) - [Commits](https://github.com/actions/upload-artifact/compare/v5...v6) Updates `actions/download-artifact` from 6 to 7 - [Release notes](https://github.com/actions/download-artifact/releases) - [Commits](https://github.com/actions/download-artifact/compare/v6...v7) --- updated-dependencies: - dependency-name: actions/upload-artifact dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major dependency-group: actions - dependency-name: actions/download-artifact dependency-version: '7' dependency-type: direct:production update-type: version-update:semver-major dependency-group: actions ... Signed-off-by: dependabot[bot] <support@github.com>	2025-12-15 10:24:00 +00:00
Pragyansh Chaturvedi	2bd8e73724	Add symbolization example	2025-12-09 00:36:50 +05:30
varunrmallya	641f8bacbe	Merge pull request #78 from pythonbpf/kfunc move examples to the correct directory	2025-12-08 21:41:52 +05:30
varun-r-mallya	749b06020d	move examples to examples folder	2025-12-08 21:39:50 +05:30
varun-r-mallya	0ce5add39b	compact the disksnoop.py example Signed-off-by: varun-r-mallya <varunrmallya@gmail.com>	2025-12-08 16:23:44 +05:30
Pragyansh Chaturvedi	d0e2360f46	Add anomaly-detection example	2025-12-02 04:01:41 +05:30
varun-r-mallya	049ec55e85	bump version Signed-off-by: varun-r-mallya <varunrmallya@gmail.com>	2025-11-30 05:55:22 +05:30
varun-r-mallya	77901accf2	fix xdp test c form test Signed-off-by: varun-r-mallya <varunrmallya@gmail.com>	2025-11-30 05:53:32 +05:30
Pragyansh Chaturvedi	0616a2fccb	Add requirements.txt for BCC-Examples	2025-11-30 05:39:58 +05:30
Pragyansh Chaturvedi	526425a267	Add command to copy vmlinux.py for container-monitor	2025-11-30 05:37:15 +05:30
Pragyansh Chaturvedi	466ecdb6a4	Update Python package installation in README	2025-11-30 05:36:16 +05:30
Pragyansh Chaturvedi	752a10fa5f	Add installation instructions to README Added installation instructions and dependencies section to README.	2025-11-30 05:35:50 +05:30
Pragyansh Chaturvedi	3602b502f4	Add steps to run container-example in BCC-Examples/README.md	2025-11-30 05:34:08 +05:30
Pragyansh Chaturvedi	808db2722d	Add instructions to run examples in README	2025-11-30 05:27:12 +05:30
Pragyansh Chaturvedi	99fc5d75cc	Refactor disksnoop.py to remove logging and main block Removed logging setup and main execution block from disksnoop.py.	2025-11-30 04:53:53 +05:30
Pragyansh Chaturvedi	c91e69e2f7	Add bpftool to installation dependencies	2025-11-30 04:35:15 +05:30
Pragyansh Chaturvedi	dc995a1448	Fix variable initialization in BPF tracepoint example	2025-11-30 04:31:39 +05:30
Pragyansh Chaturvedi	0fd6bea211	Fix return value in README example	2025-11-30 04:29:31 +05:30
varunrmallya	01d234ac86	Merge pull request #77 from pythonbpf/fix-vmlinux-ir-gen Add a web dashboard to container monitor	2025-11-28 22:12:47 +05:30
varunrmallya	2543826e85	Merge pull request #75 from pythonbpf/fix-vmlinux-ir-gen add container-monitor example	2025-11-28 21:12:45 +05:30
Pragyansh Chaturvedi	2daedc5882	Fix debug info generation of PerfEventArray maps	2025-11-28 14:50:40 +05:30
varunrmallya	0ca835079d	Merge pull request #74 from pythonbpf/fix-vmlinux-ir-gen Fix some issues with vmlinux struct usage in syntax TODO: THIS DOES NOT FIX the XDP example. The issue with the XDP example here is that the range is not being tracked due to multiple loads from stack which is making the verifier lose track of the range on that value.	2025-11-27 23:03:45 +05:30
Pragyansh Chaturvedi	127852ee9f	Add passing test struct_pylib.py	2025-11-27 04:45:34 +05:30
varunrmallya	2fd4fefbcc	Merge pull request #73 from pythonbpf/dependabot/github_actions/actions-76468cb07f Bump actions/checkout from 5 to 6 in the actions group	2025-11-24 17:15:55 +05:30
dependabot[bot]	016fd5de5c	Bump actions/checkout from 5 to 6 in the actions group Bumps the actions group with 1 update: [actions/checkout](https://github.com/actions/checkout). Updates `actions/checkout` from 5 to 6 - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/checkout/compare/v5...v6) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major dependency-group: actions ... Signed-off-by: dependabot[bot] <support@github.com>	2025-11-24 11:44:07 +00:00
Pragyansh Chaturvedi	8ad5fb8a3a	Janitorial: Remove useless comments	2025-11-23 06:29:44 +05:30
Pragyansh Chaturvedi	bf9635e324	Fix passing test hash_map_struct to include char array test	2025-11-23 06:27:01 +05:30
Pragyansh Chaturvedi	cbe365d760	Unify struct and pointer to struct handling, abstract null check in ir_ops	2025-11-23 06:26:09 +05:30