Memory Corruption Vulnerability in PyTorch Product by Meta AI
CVE-2025-2999

4.8MEDIUM

Key Information:

Vendor

Meta AI

Status
Pytorch
Vendor
CVE Published:
31 March 2025

Badges

👾 Exploit Exists

What is CVE-2025-2999?

A memory corruption vulnerability has been identified in PyTorch 2.6.0 specifically within the function torch.nn.utils.rnn.unpack_sequence. This flaw requires local access to the system to exploit and can lead to significant memory corruption, potentially impacting system stability and security. The vulnerability has been publicly disclosed, raising concerns about its exploitation in real-world scenarios. Users of PyTorch should be aware of this issue and take necessary precautions to mitigate any risks associated with it.

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Affected Version(s)

PyTorch 2.6.0

References

https://vuldb.com/?id.302048
vdb-entrytechnical-description
https://vuldb.com/?ctiid.302048
signaturepermissions-required
https://vuldb.com/?submit.524198
third-party-advisory

CVSS V4

Score:
4.8
Severity:
MEDIUM
Confidentiality:
Low
Integrity:
Low
Availability:
Low
Attack Vector:
Local
Attack Complexity:
Low
Attack Required:
None
Privileges Required:
Undefined
User Interaction:
None

Timeline

  • 🟡

    Public PoC available

  • 👾

    Exploit known to exist

  • Vulnerability published

  • Vulnerability Reserved

Credit

Default436352 (VulDB User)
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