extracting-memory-artifacts-with-rekall — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited extracting-memory-artifacts-with-rekall (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use Rekall to analyze memory dumps for signs of compromise including process injection, hidden processes, and suspicious network connections.
from rekall import session
from rekall import plugins
# Create a Rekall session with a memory image
s = session.Session(
filename="/path/to/memory.raw",
autodetect=["rsds"],
profile_path=["https://github.com/google/rekall-profiles/raw/master"]
)
# List processes
for proc in s.plugins.pslist():
print(proc)
# Detect injected code
for result in s.plugins.malfind():
print(result)Key analysis steps:
from rekall import session
s = session.Session(filename="memory.raw")
# Compare pslist vs psscan for hidden processes
pslist_pids = set(p.pid for p in s.plugins.pslist())
psscan_pids = set(p.pid for p in s.plugins.psscan())
hidden = psscan_pids - pslist_pids
print(f"Hidden PIDs: {hidden}")~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.