206 matches found
PT-2026-54005
Name of the Vulnerable Software and Affected Versions picklescan versions prior to 0.0.29 Description The software fails to detect the built-in trace.Trace.run function during the analysis of pickle files. This allows remote attackers to embed malicious code within the reduce method of a crafted...
PT-2026-51385
Name of the Vulnerable Software and Affected Versions picklescan versions prior to 0.0.29 Description An issue exists where the software fails to detect malicious pickle files that utilize the get entity function within the idlelib.autocomplete.AutoComplete module in reduce methods. This allows...
Picklescan missing detection when calling pytorch function torch.jit.unsupported_tensor_ops.execWrapper
Summary Using torch.jit.unsupportedtensorops.execWrapper function, which is a pytorch library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to torch.jit.unsupportedtensorops.execWrapper function...
Remote Code Execution (RCE)
Overview picklescan is a Security scanner detecting Python Pickle files performing suspicious actions Affected versions of this package are vulnerable to Remote Code Execution RCE due to using torch.utils.data.datapipes.utils.decoder.basichandlers function. An attacker can execute arbitrary code ...
PT-2026-55678
Name of the Vulnerable Software and Affected Versions picklescan versions prior to 0.0.28 Description The software fails to detect malicious pickle files that utilize torch.utils.data.datapipes.utils.decoder.basichandlers within reduce methods. This flaw allows attackers to bypass safety checks b...
PT-2026-55671
Name of the Vulnerable Software and Affected Versions picklescan versions prior to 0.0.28 Description The software fails to detect malicious calls to the evaluate guards expression function within the torch.fx.experimental.symbolic shapes.ShapeEnv module in pickle files. This allows attackers to...
PT-2026-51493
Name of the Vulnerable Software and Affected Versions picklescan versions prior to 0.0.28 Description An issue exists where the software fails to detect malicious torch.jit.unsupported tensor ops.execWrapper function calls embedded in pickle files. This allows attackers to craft malicious pickle...
PT-2026-54006
Name of the Vulnerable Software and Affected Versions picklescan versions prior to 0.0.28 Description The software fails to detect malicious pickle files that utilize the torch.utils.collect env.run function within reduce methods. This allows attackers to embed hidden code in pickle files, which...
PT-2026-51214
Name of the Vulnerable Software and Affected Versions picklescan versions prior to 0.0.28 Description An issue exists where the software fails to detect malicious pickle files that invoke the load config function within the torch.utils. config module module inside reduce methods. This allows...
PT-2026-55676
Name of the Vulnerable Software and Affected Versions picklescan versions prior to 0.0.28 Description The software fails to detect malicious function calls to torch.utils.bottleneck. main .run cprofile within pickle files. This flaw allows remote attackers to bypass safety checks by embedding...
PT-2026-54008
Name of the Vulnerable Software and Affected Versions Picklescan versions prior to 0.0.25 Description Picklescan fails to detect unsafe global functions within the Numpy library, which allows attackers to bypass static analysis. This issue enables the execution of arbitrary code during...
Arbitrary Code Execution (ACE)
PickleScan is vulnerable to Arbitrary Code Execution ACE. The vulnerability is due to PickleScan failing to detect malicious pickle files when specific ZIP file flag bits are modified, allowing attackers to embed harmful pickle files that remain unnoticed while still being loaded by PyTorch’s...
GHSA-W8JQ-XCQF-F792 Zip Flag Bit Exploit Crashes Picklescan But Not PyTorch
Summary PickleScan 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...
CVE-2025-1945
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...
PYSEC-2025-21
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...
CVE-2025-1945 picklescan - Zip Flag Bit Exploit Crashes Picklescan But Not PyTorch
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...
CVE-2025-1945 picklescan - Zip Flag Bit Exploit Crashes Picklescan But Not PyTorch
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...
CVE-2025-1889
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...
Malicious ML Models on Hugging Face Leverage Broken Pickle Format to Evade Detection
Cybersecurity researchers have uncovered two malicious machine learning ML models on Hugging Face that leveraged an unusual technique of "broken" pickle files to evade detection. "The pickle files extracted from the mentioned PyTorch archives revealed the malicious Python content at the beginning...
