CVE-2025-2999
mediumpriority · track · 0EPSS 0.002 · 10 %ileDEEUUSEPSS · scored 2026-10-27
A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
cvss
Technical severity, 0–10. One row per scoring source.
base score 0–10 · higher = more severe · hover a vector to decode⚠ sources disagree · low–medium · 1.1–5.3
ssvc
A stakeholder decision — act, attend, or track — from exploitation and impact.
weaknesses
The CWE weakness classes this flaw belongs to.
affected products (6)
Products and version ranges known to be affected.
advisories (4)
Vendor and ecosystem advisories describing this.
- WID-SEC-W-2025-0666PyTorch: Mehrere Schwachstellen ermöglichen CodeausführungDeutsch2025-03-31csaf · cert_bundDE
Ein lokaler Angreifer kann mehrere Schwachstellen in PyTorch ausnutzen, um beliebigen Programmcode auszuführen.
- GHSA-vgrw-7cvw-pwgxPyTorch is vulnerable to memory corruption through its unpack_sequence function2025-03-31ghsa · osvUS
A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used. A patch is available through commit [4945180](https://github.com/pytorch/pytorch/commit/494518046816d29099b7d056a74ffa5c244fdcdd).
- BIT-pytorch-2025-2999PyTorch torch.nn.utils.rnn.unpack_sequence memory corruption2025-05-30vendor · osvUS
A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
- PYSEC-2025-1932025-03-31vendor · osvUS
A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
also known as (7)
Other names and identifiers for this entity.
sources
Which sources assert this record, and when.
references (11)
External citations — patches, advisories, analysis.
- https://nvd.nist.gov/vuln/detail/CVE-2025-2999cnnvd
- https://github.com/pytorch/pytorch/issues/149622enisa_euvd
- https://github.com/pytorch/pytorch/issues/149622#issue-2935495265enisa_euvd
- https://vuldb.com/?ctiid.302048enisa_euvd
- https://vuldb.com/?id.302048enisa_euvd
- https://vuldb.com/?submit.524198enisa_euvd
- https://github.com/pytorch/pytorch/issues/149622Issue TrackingVendor Advisorynvd
- https://github.com/pytorch/pytorch/issues/149622#issue-2935495265Issue TrackingVendor Advisorynvd
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