CVE-2025-71321
CRITICALpicklescan before 0.0.33 contains an arbitrary file writing vulnerability that allows attackers to bypass the dangerous blocklist by using distutils.file_util.write_file. Attackers can construct malicious pickle objects to overwrite critical system files and achieve denial of service or remote code...
Full CISO analysis pending enrichment.
What systems are affected?
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| picklescan | pip | — | No patch |
Do you use picklescan? You're affected.
How severe is it?
What is the attack surface?
What should I do?
No patch available
Monitor for updates. Consider compensating controls or temporary mitigations.
Which compliance frameworks are affected?
Compliance analysis pending. Sign in for full compliance mapping when available.
Frequently Asked Questions
What is CVE-2025-71321?
picklescan before 0.0.33 contains an arbitrary file writing vulnerability that allows attackers to bypass the dangerous blocklist by using distutils.file_util.write_file. Attackers can construct malicious pickle objects to overwrite critical system files and achieve denial of service or remote code execution.
Is CVE-2025-71321 actively exploited?
No confirmed active exploitation of CVE-2025-71321 has been reported, but organizations should still patch proactively.
How to fix CVE-2025-71321?
No patch is currently available. Monitor vendor advisories for updates.
What is the CVSS score for CVE-2025-71321?
CVE-2025-71321 has a CVSS v3.1 base score of 9.8 (CRITICAL).
What are the technical details?
Original Advisory
picklescan before 0.0.33 contains an arbitrary file writing vulnerability that allows attackers to bypass the dangerous blocklist by using distutils.file_util.write_file. Attackers can construct malicious pickle objects to overwrite critical system files and achieve denial of service or remote code execution.
Weaknesses (CWE)
CWE-502 — Deserialization of Untrusted Data: The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
- [Architecture and Design, Implementation] If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
- [Implementation] When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
Source: MITRE CWE corpus.
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H References
Timeline
Related Vulnerabilities
GHSA-vvpj-8cmc-gx39 10.0 picklescan: security flaw enables exploitation
Same package: picklescan CVE-2026-3490 10.0 Analysis pending
Same package: picklescan GHSA-7wx9-6375-f5wh 9.8 picklescan: Allowlist Bypass evades input filtering
Same package: picklescan GHSA-g38g-8gr9-h9xp 9.8 picklescan: Allowlist Bypass evades input filtering
Same package: picklescan CVE-2025-1945 9.8 picklescan: ZIP flag bypass enables RCE in PyTorch models
Same package: picklescan