Arbitrary code execution via ZIP flag bypass
Published Mar 10, 2025 · Updated Dec 29, 2025
Protection bypass in picklescan before 0.0.23 allows attackers to hide malicious pickle payloads in PyTorch model archives. The scan_zip_bytes path opens ZIP-based models with Python zipfile, whose strict handling of altered flag_bits raises errors before embedded pickle content is inspected. Exploitation requires a compromised model to be scanned and then loaded with torch.load(); the hidden payload executes with the loader process privileges.
Summary
What happened
Protection bypass in picklescan before 0.0.23 allows attackers to hide malicious pickle payloads in PyTorch model archives. The scan_zip_bytes path opens ZIP-based models with Python zipfile, whose strict handling of altered flag_bits raises errors before embedded pickle content is inspected. Exploitation requires a compromised model to be scanned and then loaded with torch.load(); the hidden payload executes with the loader process privileges.
The record
- CVE
- CVE-2025-1945
- Published
- Mar 10, 2025
- Updated
- Dec 29, 2025
- Vendor
- Matthieu Maitre
- Product
- picklescan
- Classifications
- CWE-345, T1204.002
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Mar 10, 2025CVE publishedPublication date reported by the CVE source.
- Dec 29, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=0.0.1 <0.0.23
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- ZIP flag-bit bypass proof of conceptproof of concept · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
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Your stack
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