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CVE-2026-123974VulnerabilityPublished

Bundesamt für Sicherheit in der Informationstechnik Open Source · PyTorch: Schwachstelle ermöglicht Privilegieneskalation

Affects Bundesamt für Sicherheit in der Informationstechnik Open SourceSource GCVE Database

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Authoritative record:CVE-2026-123974· High 7.8

Not known to be exploited · CVSS 7.8 High.

Data as of 9 Nov 2026, 12:36 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.

Thin evidence

One scorer or none
CVSS scores by source
CNA (Akrites)CVSS 3.17.8
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 6 Nov 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 9 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
PyTorchTorchServeAffected
  • All versions
Fixed in–
GitHubTorchServepkg:github/TorchServeOther threatsAffected
  • All versions
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

Description

A vulnerability identified as CVE-2026-123974 affects PyTorch, an open-source tensor library for deep learning on GPUs and CPUs. The vulnerability allows for privilege escalation. No specific affected versions or CVSS score are provided, and no known exploits are reported in the wild.

References

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