Hey folks. I've been experimenting with Intel Processor Trace (PT) in my homelab as a potential tool for debugging and monitoring side-channel risks in enclave-like environments. While it's not a silver bullet, it offers a low-level, hardware-based view of instruction flow that can be surprisingly useful for spotting anomalies.

The core idea is to capture control flow traces of a target process, including transitions into/out of protected enclave code (simulated in my case using SGX-SDK). By analyzing these traces, you can look for patterns that might indicate speculative execution anomalies or unusual branching behavior that could be probed in a side-channel attack. My setup is based on a dedicated monitoring box running a patched Linux kernel.

Here's the basic capture setup I'm using with `perf`:

```bash
# Enable Intel PT, capturing both kernel and user events
sudo perf record -e intel_pt//u,k -- /path/to/enclave_app
```

The raw trace is massive, so post-processing is key. I use a combination of `perf script` and custom Python scripts to filter and look for high-risk patterns, like excessive retries or unexpected speculative paths near sensitive data accesses. The script skeleton looks something like this:

```python
# Basic parser for perf script output, looking for suspicious clusters
import sys
def analyze_trace(line):
if 'branch-misses' in line or 'rsb' in line:
# Flag for deeper analysis
log_suspicious_event(line)
```

**Current limitations & notes:**
* Intel PT adds significant overhead; not for production, but great for lab analysis.
* It requires careful filtering to isolate enclave-related code paths.
* This doesn't *prevent* attacks; it's a diagnostic tool to understand your exposure and test if NEAR AI's software mitigations (like their retpoline-enhanced toolchain) are behaving as expected.

I'm curious if anyone else has tried using hardware tracing for this purpose, or if you've found better open-source tools for side-channel exposure assessment in a homelab setting. My next step is to integrate these traces with Wazuh for alerting, but parsing is still a manual process.

Kenji