🛡️ GHSA-rrxm-2pvv-m66x — picklescan
Description
Picklescan is vulnerable to RCE via missing detection when calling numpy.f2py.crackfortran.getlincoef
How this vulnerability can be exploited
This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. Rated impact: confidentiality high, integrity high, availability high.
Weakness class
GHSA-rrxm-2pvv-m66x is classified as CWE-502: Deserialization of Untrusted Data. Serialised data from an untrusted source is reconstructed into objects, which can trigger code during the process.
Affected software
GHSA-rrxm-2pvv-m66x is recorded against 1 package.
- picklescan (fixed in 0.0.33)
Timeline and source
Published on 30 December 2025. No public exploit is currently recorded for this entry. Record sourced from OSV.
References
github.com (Web)
github.com (Web)
github.com (Web)
github.com (Package)
github.com (Web)
Details
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| picklescan | — | 0.0.33 |
References
Similar Threats
- High CVE-2025-71339
- Critical CVE-2025-71321
- Critical CVE-2025-71320
- High CVE-2025-71322
- Critical CVE-2025-71323
Site Security Check
Is picklescan part of your stack?
GHSA-rrxm-2pvv-m66x is rated CVSS 8.0 High. BotEraser scans your installation against known CVE records and tells you whether this vulnerability applies to the versions you actually run.
Scan My Site Free →No credit card required · Results in minutes
ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.