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fix(deps): vuln torch (major β†’ 2.12.1) [examples/pytorch/summarization] - #41

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fix(deps): vuln torch (major β†’ 2.12.1) [examples/pytorch/summarization]#41
gh-worker-campaigns-3e9aa4[bot] wants to merge 1 commit into
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Summary: Critical-severity security update β€” 1 package upgraded (MAJOR changes included)

Manifests changed:

  • examples/pytorch/summarization (pip)

βœ… Action Required: Please review the changes below. If they look good, approve and merge this PR.


Updates

Package From To Type Dep Type Vulnerabilities Fixed
torch 1.3 2.12.1 major Direct 8 CRITICAL, 17 HIGH, 22 MEDIUM, 12 LOW

Warning

Major Version Upgrade

This update includes major version changes that may contain breaking changes. Please:

  • Review the changelog/release notes for breaking changes
  • Test thoroughly in a staging environment
  • Update any code that depends on changed APIs
  • Ensure all tests pass before merging

Security Details

🚨 Critical & High Severity (25 fixed)
Package CVE Severity Summary Unsafe Version Fixed In Case
torch GHSA-47fc-vmwq-366v CRITICAL PyTorch vulnerable to arbitrary code execution 1.3 1.13.1 -
torch CVE-2022-45907 critical - 1.3 - -
torch PYSEC-2022-43015 critical - 1.3 767f6aa49fe20a2766b9843d01e3b7f7793df6a3 -
torch GHSA-53q9-r3pm-6pq6 CRITICAL PyTorch: torch.load with weights_only=True leads to remote code execution 1.3 2.6.0 -
torch CVE-2025-32434 CRITICAL PyTorch: torch.load with weights_only=True leads to remote code execution 1.3 - -
torch PYSEC-2025-41 CRITICAL - 1.3 2.6.0 -
torch CVE-2024-48063 critical - 1.3 - -
torch PYSEC-2024-259 critical - 1.3 2.5.0 -
torch PYSEC-2025-209 high - 1.3 2.7.1 -
torch CVE-2025-55560 high - 1.3 - -
torch PYSEC-2025-204 high - 1.3 2.9.0 -
torch GHSA-pg7h-5qx3-wjr3 HIGH Pytorch use-after-free vulnerability 1.3 2.2.0 -
torch CVE-2025-55553 high - 1.3 - -
torch PYSEC-2025-205 high - 1.3 2.7.1 -
torch PYSEC-2025-207 high - 1.3 2.7.1 -
torch CVE-2024-31583 high - 1.3 - -
torch PYSEC-2024-251 high - 1.3 9c7071b0e324f9fb68ab881283d6b8d388a4bcd2 -
torch CVE-2025-55552 high - 1.3 - -
torch CVE-2025-55557 high - 1.3 - -
torch PYSEC-2026-139 high - 1.3 - -
torch CVE-2025-55558 high - 1.3 - -
torch PYSEC-2025-208 high - 1.3 2.7.1 -
torch GHSA-5pcm-hx3q-hm94 HIGH PyTorch heap buffer overflow vulnerability 1.3 2.2.0 -
torch PYSEC-2025-203 high - 1.3 2.9.0 -
torch CVE-2025-55551 high - 1.3 - -
ℹ️ Other Vulnerabilities (34)
Package CVE Severity Summary Unsafe Version Fixed In Case
torch PYSEC-2025-196 medium - 1.3 - -
torch CVE-2024-31584 medium - 1.3 - -
torch PYSEC-2024-250 medium - 1.3 7c35874ad664e74c8e4252d67521f3986eadb0e6 -
torch CVE-2025-3001 medium - 1.3 - -
torch PYSEC-2025-195 medium - 1.3 - -
torch CVE-2025-55554 medium - 1.3 - -
torch PYSEC-2025-206 medium - 1.3 2.9.0 -
torch CVE-2024-31580 medium - 1.3 - -
torch PYSEC-2024-252 medium - 1.3 b5c3a17c2c207ebefcb85043f0cf94be9b2fef81 -
torch PYSEC-2025-198 medium - 1.3 2.7.0 -
torch CVE-2025-46148 medium - 1.3 - -
torch PYSEC-2025-193 medium - 1.3 - -
torch CVE-2025-2999 medium - 1.3 - -
torch PYSEC-2025-197 medium - 1.3 - -
torch CVE-2025-3136 medium - 1.3 - -
torch CVE-2025-3121 medium - 1.3 - -
torch GHSA-vgrw-7cvw-pwgx MODERATE PyTorch is vulnerable to memory corruption through its unpack_sequence function 1.3 2.9.1 -
torch GHSA-f4hp-rmr7-r7v8 MODERATE PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function 1.3 - -
torch CVE-2025-2998 MODERATE - 1.3 - -
torch PYSEC-2025-192 MODERATE - 1.3 - -
torch GHSA-887c-mr87-cxwp MODERATE PyTorch Improper Resource Shutdown or Release vulnerability 1.3 2.8.0 -
torch CVE-2025-3730 MODERATE - 1.3 - -
torch PYSEC-2025-189 LOW - 1.3 - -
torch PYSEC-2025-190 LOW - 1.3 - -
torch GHSA-c678-jfcj-6jmf LOW PyTorch Tuple Handler is Vulnerable to Memory Corruption through Manipulation of None Argument 1.3 - -
torch GHSA-x3gm-94wq-g975 LOW PyTorch: Manipulation of the argument scale/zero_point leads to improper initialization via Quantized Sigmoid Module 1.3 - -
torch CVE-2025-3000 LOW - 1.3 - -
torch GHSA-qfhq-4f3w-5fph LOW PyTorch is vulnerable to memory corruption through its torch.lstm_cell function 1.3 2.10.0 -
torch PYSEC-2025-210 low - 1.3 - -
torch CVE-2025-63396 low - 1.3 - -
torch GHSA-3749-ghw9-m3mg LOW PyTorch susceptible to local Denial of Service 1.3 2.7.1-rc1 -
torch PYSEC-2025-191 LOW - 1.3 - -
torch PYSEC-2025-194 LOW - 1.3 - -
torch GHSA-rrmf-rvhw-rf47 LOW PyTorch is vulnerable to memory corruption through its torch.jit.script function 1.3 - -

Review Checklist

Extra review is recommended for this update:

  • Review changes for compatibility with your code
  • Check release notes for breaking changes
  • Run integration tests to verify service behavior
  • Test in staging environment before production
  • Monitor key metrics after deployment
  • Approve and merge this PR

Update Mode: all_vulns

πŸ€– Generated by DataDog Automated Dependency Management System

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