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CVE
•added 2026/10/23 3:14 p.m.•3 views

CVE-2026-57845

Hugging Face Datasets through 5.1.0 contains an insecure deserialization vulnerability that allows attackers to execute arbitrary Python code by crafting a malicious pickle file loaded through the deprecated pandas packaged builder. Attackers can supply a pickle-backed dataset that is processed b...

8.8CVSS6.6AI score
SaveExploits1References3
Cvelist
Cvelist
•added 2026/10/23 3:14 p.m.•4 views

CVE-2026-57845 Hugging Face Datasets 5.1.0 Pickle Deserialization RCE via Pandas Builder

Hugging Face Datasets through 5.1.0 contains an insecure deserialization vulnerability that allows attackers to execute arbitrary Python code by crafting a malicious pickle file loaded through the deprecated pandas packaged builder. Attackers can supply a pickle-backed dataset that is processed b...

8.8CVSS
SaveExploits1References3
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2026/06/21 12:00 a.m.•6 views

CVE-2025-71351: Incomplete List of Disallowed Inputs

picklescan before 0.0.25 fails to detect malicious pickle files that use timeit.timeit in the reduce method, allowing remote code execution. Attackers can craft pickle files that import dangerous libraries like os and execute arbitrary system commands, which evade picklescan detection and execute...

7.6CVSS6.9AI score0.00552EPSS
SaveExploits0References2
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2026/06/17 12:00 a.m.•12 views

CVE-2026-53805: Deserialization of Untrusted Data

NVIDIA Spatial Intelligence Lab's SIL GEN3C contains an unauthenticated remote code execution vulnerability in the inference API server where the /request-inference and /seed-model endpoints deserialize raw HTTP request bodies using Python's pickle.loads without authentication or input validation...

9.8CVSS8.9AI score0.01279EPSS
SaveExploits1References2
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2026/06/17 12:00 a.m.•7 views

CVE-2026-53875: Improper Neutralization of Directives in Dynamically Evaluated Code

picklescan before 1.0.3 contains a scanning bypass vulnerability in the scanpytorch function that allows attackers to embed malicious magic numbers via dynamic eval using the reduce trick. Attackers can craft malicious PyTorch payloads that evade picklescan detection while remaining executable,...

7.1CVSS6.5AI score0.00691EPSS
SaveExploits0References2
Mend
Mend
•added 2026/01/20 12:00 a.m.•4 views

CVE-2025-56005

An undocumented and unsafe feature in the PLY Python Lex-Yacc library 3.11 allows Remote Code Execution RCE via the "picklefile" parameter in the "yacc" function. This parameter accepts a ".pkl" file that is deserialized with "pickle.load" without validation. Because "pickle" allows execution of...

9.8CVSS8.9AI score0.18807EPSS
SaveExploits4References15
NVD
NVD
•added 2020/05/15 7:15 p.m.•80 views

CVE-2020-13092

scikit-learn aka sklearn through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load function, if reduce makes an os.system call. NOTE: third parties dispute this issue because the joblib.load function is documented as unsafe and it is the user's...

9.8CVSS9.7AI score0.03406EPSS
SaveExploits2References2
osv_debian
osv_debian
•added 2020/05/15 7:15 p.m.•19 views

DEBIAN-CVE-2020-13091

pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the readpickle function, if reduce makes an os.system call. NOTE: third parties dispute this issue because the readpickle function is documented as unsafe and it is the user's responsibility to use...

9.8CVSS8.5AI score0.03507EPSS
SaveExploits1References1
Cvelist
Cvelist
•added 2020/05/15 6:41 p.m.•39 views

CVE-2020-13091

pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the readpickle function, if reduce makes an os.system call. NOTE: third parties dispute this issue because the readpickle function is documented as unsafe and it is the user's responsibility to use...

9.7AI score0.03507EPSS
SaveExploits1References2
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