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...

Deserialization of Untrusted Data

Overview keras is a Keras is a high-level neural networks API for Python.. Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the loadmodel function, which uses pickle for serialization. An attacker can execute code even if safemode is set to True, by supplyi...

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...

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...

Remote Code Execution (RCE)

DGL is vulnerable to Remote Code Execution RCE.The vulnerability is due to unsafe deserialization due to the use of Python's pickle module for serializing and deserializing network messages, which can allow attackers to execute arbitrary code remotely...

Insufficient Verification of Data Authenticity

Overview picklescan is a Security scanner detecting Python Pickle files performing suspicious actions Affected versions of this package are vulnerable to Insufficient Verification of Data Authenticity due to improper handling of modified ZIP file flag bits. Attackers can exploit this by altering...

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...

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...

picklescan 数据伪造问题漏洞

picklescan is a security scanning program by the individual developer Matthieu Maitre. A data forgery issue vulnerability exists in versions of picklescan prior to 0.0.23, which stems from an inability to detect a malicious pickle file with a modified ZIP file header, which could lead to arbitrar...

Improper Input Validation

picklescan is vulnerable to Improper Input Validation. The vulnerability is due to improper validation of file extensions, allowing an attacker to include a malicious pickle file with a non-standard extension that bypasses security checks...

dmlc/dgl Vulnerable to Remote Code Execution by Pickle Deserialization via rpc.recv_request()

Impact Dgl implements rpc server startserver in rpcserver.py for supporting the RPC communications among different remote users over networks. It relies on pickle serialize and deserialize to pack and unpack network messages. The is a known risk in pickle deserialization functionality that can be...

GHSA-3X5X-FW77-G54C dmlc/dgl Vulnerable to Remote Code Execution by Pickle Deserialization via rpc.recv_request()

Impact Dgl implements rpc server startserver in rpcserver.py for supporting the RPC communications among different remote users over networks. It relies on pickle serialize and deserialize to pack and unpack network messages. The is a known risk in pickle deserialization functionality that can be...

Deserialization of Untrusted Data

Overview dgl is a Deep Graph Library Affected versions of this package are vulnerable to Deserialization of Untrusted Data in rpc.recvrequest, which is invoked in the startserver function in rpcserver.py without checking the contents of the payload. An attacker can execute code by sending malicio...

Duplicate Advisory: Picklescan Allows Remote Code Execution via Malicious Pickle File Bypassing Static Analysis

Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-769v-p64c-89pr. This link is maintained to preserve external references. Original Description picklescan before 0.0.22 only considers standard pickle file extensions in the scope for its vulnerability scan. An...

GHSA-769V-P64C-89PR PyTorch Model Files Can Bypass Pickle Scanners via Unexpected Pickle Extensions

CVE-2025-1889 Summary Picklescan fails to detect hidden pickle files embedded in PyTorch model archives due to its reliance on file extensions for detection. This allows an attacker to embed a secondary, malicious pickle file with a non-standard extension inside a model archive, which remains...

PyTorch Model Files Can Bypass Pickle Scanners via Unexpected Pickle Extensions

CVE-2025-1889 Summary Picklescan fails to detect hidden pickle files embedded in PyTorch model archives due to its reliance on file extensions for detection. This allows an attacker to embed a secondary, malicious pickle file with a non-standard extension inside a model archive, which remains...

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...