Vulnerabilities
Vulnerable Software
Mmaitre314:  >> Picklescan  Security Vulnerabilities
picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.pyshell.ModifiedInterpreter.runcommand in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims.
CVSS Score
7.6
EPSS Score
0.004
Published
2026-06-21
picklescan before 0.0.30 fails to detect cProfile.runctx function calls in pickle file reduce methods, allowing attackers to execute arbitrary code. Malicious pickle files bypass picklescan detection and execute remote code when loaded via pickle.load().
CVSS Score
7.6
EPSS Score
0.005
Published
2026-06-21
picklescan before 0.0.28 fails to detect malicious pickle files that invoke torch.utils._config_module.load_config function within reduce methods. Attackers can craft pickle files embedding arbitrary code that evades detection but executes during pickle.load, enabling remote code execution in supply chain attacks.
CVSS Score
7.6
EPSS Score
0.006
Published
2026-06-21
picklescan before 1.0.1 contains an unsafe pickle deserialization vulnerability allowing unauthenticated attackers to create arbitrary zero-byte files via logging.FileHandler class instantiation. Attackers can exploit this by crafting malicious pickle payloads to bypass RCE blocklists and create lock files or other filesystem artifacts, potentially causing denial of service or application disruption.
CVSS Score
6.9
EPSS Score
0.004
Published
2026-06-20
The unsafe globals in Picklescan before 0.0.25 do not include ssl. Consequently, ssl.get_server_certificate can exfiltrate data via DNS after deserialization.
CVSS Score
6.8
EPSS Score
0.002
Published
2025-04-24
picklescan before 0.0.23 fails to detect malicious pickle files inside PyTorch model archives when certain ZIP file flag bits are modified. By flipping specific bits in the ZIP file headers, an attacker can embed malicious pickle files that remain undetected by PickleScan while still being successfully loaded by PyTorch's torch.load(). This can lead to arbitrary code execution when loading a compromised model.
CVSS Score
5.3
EPSS Score
0.006
Published
2025-03-10
picklescan before 0.0.23 is vulnerable to a ZIP archive manipulation attack that causes it to crash when attempting to extract and scan PyTorch model archives. By modifying the filename in the ZIP header while keeping the original filename in the directory listing, an attacker can make PickleScan raise a BadZipFile error. However, PyTorch's more forgiving ZIP implementation still allows the model to be loaded, enabling malicious payloads to bypass detection.
CVSS Score
5.3
EPSS Score
0.003
Published
2025-03-10
picklescan before 0.0.22 only considers standard pickle file extensions in the scope for its vulnerability scan. An attacker could craft a malicious model that uses Pickle and include a malicious pickle file with a non-standard file extension. Because the malicious pickle file inclusion is not considered as part of the scope of picklescan, the file would pass security checks and appear to be safe, when it could instead prove to be problematic.
CVSS Score
5.3
EPSS Score
0.004
Published
2025-03-03
picklescan before 0.0.21 does not treat 'pip' as an unsafe global. An attacker could craft a malicious model that uses Pickle to pull in a malicious PyPI package (hosted, for example, on pypi.org or GitHub) via `pip.main()`. Because pip is not a restricted global, the model, when scanned with picklescan, would pass security checks and appear to be safe, when it could instead prove to be problematic.
CVSS Score
5.3
EPSS Score
0.017
Published
2025-02-26


Contact Us

Shodan ® - All rights reserved