CVE-2025-2998: Torch PyTorch Is Vulnerable To Memory Vulnerability

MODERATE
Advisory Identifier: GHSA-f4hp-rmr7-r7v8
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CVSS 5.3
CWE-119
Published
Advisory Summary

CVE-2025-2998 is a MODERATE (CVSS 5.3) pytorch is vulnerable to memory vulnerability (CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer) affecting Torch libraries in the PyPI ecosystem. The issue involves pytorch is vulnerable to memory consumption through pad_packed_sequence function. Remediation is available in the latest vendor maintenance releases.

CVE-2025-2998 at a Glance

CVE Identifier CVE-2025-2998
GHSA Identifier GHSA-f4hp-rmr7-r7v8
Severity MODERATE
CVSS v3.1 Base Score 5.3
CWE Classification CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer
Affected Product Torch
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 5.3

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L).

Attack Vector Local (AV:L)
Attack Complexity Low (AC:L)
Privileges Required Low (PR:L)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality Low (C:L)
Integrity Low (I:L)
Availability Low (A:L)

How to Fix CVE-2025-2998

To remediate this vulnerability, upgrade all affected Torch dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

torch fixed: Latest secure release 
pip install torch>=Latest secure release
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

pip show torch

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2025-2998, inspect your installed packages using pip:

pip show torch

Analyze the terminal output to locate any version of Torch in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than the patched release), your application is affected.

Note: The pip show torch command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer, where the product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. this may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data. In Torch, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

A vulnerability was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.

CVE-2025-2998 Affected Torch Versions

1 component(s)
Product / Package Ecosystem Affected Versions Fixed Version
torch
pypi/torch
PyPI
≤ 2.6.0

References

NVD — CVE-2025-2998 NVD
https://nvd.nist.gov/vuln/detail/CVE-2025-2998
Torch Source Repository REPOSITORY
https://github.com/pytorch/pytorch/issues/149622
Torch Source Repository REPOSITORY
https://github.com/pytorch/pytorch/issues/149622#issue-2935495265
Security Fix Commit FIX COMMIT
https://github.com/pytorch/pytorch/commit/494518046816d29099b7d056a74ffa5c244fdcdd
Torch Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-192.yaml
Torch Source Repository REPOSITORY
https://github.com/pytorch/pytorch
vuldb.com/ WEB
https://vuldb.com/?ctiid.302047
vuldb.com/ WEB
https://vuldb.com/?id.302047
vuldb.com/ WEB
https://vuldb.com/?submit.524151

Frequently Asked Questions

What is CVE-2025-2998?
CVE-2025-2998 is a security vulnerability in Torch involving PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function under CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer.
Which Torch versions are affected?
Affected versions include releases prior to current release patches across affected packages: torch.
What version fixes CVE-2025-2998?
Upgrading to current release patches (or the latest patched release for your respective branch) resolves the vulnerability.
Is torch affected?
Yes, torch is affected in releases prior to Latest secure release. Upgrade your dependency to Latest secure release or later.
What is the CVSS score of CVE-2025-2998?
CVE-2025-2998 has a CVSS v3.1 base score of 5.3 (MODERATE) with vector string CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L.
What CWE is associated with CVE-2025-2998?
CVE-2025-2998 is classified under CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer (The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.).
How can I check PyPI dependencies for CVE-2025-2998?
Run the dependency tree command: 'pip show torch'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-f4hp-rmr7-r7v8",
  "modified" : "2026-06-09T21:56:31Z",
  "published" : "2025-03-31T15:30:48Z",
  "aliases" : [ "CVE-2025-2998" ],
  "summary" : "PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function",
  "details" : "A vulnerability was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L"
  }, {
    "type" : "CVSS_V4",
    "score" : "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "torch"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "last_affected" : "2.6.0"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2025-2998"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pytorch/pytorch/issues/149622"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pytorch/pytorch/issues/149622#issue-2935495265"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pytorch/pytorch/commit/494518046816d29099b7d056a74ffa5c244fdcdd"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-192.yaml"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/pytorch/pytorch"
  }, {
    "type" : "WEB",
    "url" : "https://vuldb.com/?ctiid.302047"
  }, {
    "type" : "WEB",
    "url" : "https://vuldb.com/?id.302047"
  }, {
    "type" : "WEB",
    "url" : "https://vuldb.com/?submit.524151"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-119" ],
    "severity" : "MODERATE",
    "github_reviewed" : true,
    "github_reviewed_at" : "2026-06-09T21:56:31Z",
    "nvd_published_at" : "2025-03-31T14:15:20Z"
  }
}