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fix(deps): vuln torch (minor → 2.13.0) [dd_unit_scaling/pyproject.toml] - #165

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fix(deps): vuln torch (minor → 2.13.0) [dd_unit_scaling/pyproject.toml]#165
gh-worker-campaigns-3e9aa4[bot] wants to merge 1 commit into
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engraver-auto-version-upgrade/minorpatch/pep621/dd_unit_scaling/1-1788163765

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Summary: Critical-severity security update — 1 package upgraded (MINOR changes included)

Manifests changed:

  • dd_unit_scaling/pyproject.toml (pep621)

✅ 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 2.4.0 2.13.0 minor Direct 5 CRITICAL, 14 HIGH, 20 MEDIUM, 15 LOW

Security Details

🚨 Critical & High Severity (19 fixed)
Package CVE Severity Summary Unsafe Version Fixed In Case
torch PYSEC-2025-41 critical - 2.4.0 2.6.0 -
torch CVE-2024-48063 critical - 2.4.0 - -
torch PYSEC-2024-259 critical - 2.4.0 2.5.0 -
torch CVE-2025-32434 critical PyTorch: torch.load with weights_only=True leads to remote code execution 2.4.0 - -
torch GHSA-53q9-r3pm-6pq6 CRITICAL PyTorch: torch.load with weights_only=True leads to remote code execution 2.4.0 2.6.0 -
torch PYSEC-2025-207 high - 2.4.0 2.7.1 -
torch PYSEC-2026-2286 high - 2.4.0 2.10.0 -
torch CVE-2025-55560 high - 2.4.0 - -
torch CVE-2025-55557 high - 2.4.0 - -
torch PYSEC-2025-203 high - 2.4.0 2.9.0 -
torch PYSEC-2025-208 high - 2.4.0 2.7.1 -
torch CVE-2025-55558 high - 2.4.0 - -
torch PYSEC-2025-205 high - 2.4.0 2.7.1 -
torch CVE-2025-55553 high - 2.4.0 - -
torch PYSEC-2025-209 high - 2.4.0 2.7.1 -
torch CVE-2026-24747 high PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files 2.4.0 - -
torch GHSA-63cw-57p8-fm3p HIGH PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files 2.4.0 - -
torch PYSEC-2026-1856 high PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files 2.4.0 - -
torch CVE-2025-55551 high - 2.4.0 - -
ℹ️ Other Vulnerabilities (35)
Package CVE Severity Summary Unsafe Version Fixed In Case
torch CVE-2025-46148 medium - 2.4.0 - -
torch PYSEC-2025-193 medium - 2.4.0 - -
torch CVE-2025-2999 medium PyTorch torch.nn.utils.rnn.unpack_sequence memory corruption 2.4.0 - -
torch PYSEC-2025-198 medium - 2.4.0 2.7.0 -
torch PYSEC-2025-192 medium - 2.4.0 - -
torch CVE-2025-2998 medium PyTorch torch.nn.utils.rnn.pad_packed_sequence memory corruption 2.4.0 - -
torch CVE-2025-3121 medium PyTorch torch.jit.jit_module_from_flatbuffer memory corruption 2.4.0 - -
torch PYSEC-2025-204 medium - 2.4.0 2.9.0 -
torch CVE-2025-55552 medium - 2.4.0 - -
torch PYSEC-2025-206 medium - 2.4.0 2.9.0 -
torch CVE-2025-55554 medium - 2.4.0 - -
torch PYSEC-2025-189 medium - 2.4.0 - -
torch PYSEC-2025-196 medium - 2.4.0 - -
torch CVE-2025-3136 medium PyTorch CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete memory corruption 2.4.0 - -
torch PYSEC-2025-197 medium - 2.4.0 - -
torch PYSEC-2026-1970 medium PyTorch Improper Resource Shutdown or Release vulnerability 2.4.0 2.8.0 -
torch CVE-2025-3730 medium PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service 2.4.0 - -
torch GHSA-887c-mr87-cxwp MODERATE PyTorch Improper Resource Shutdown or Release vulnerability 2.4.0 2.8.0 -
torch GHSA-f4hp-rmr7-r7v8 MODERATE PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function 2.4.0 - -
torch GHSA-vgrw-7cvw-pwgx MODERATE PyTorch is vulnerable to memory corruption through its unpack_sequence function 2.4.0 2.9.1 -
torch GHSA-x3gm-94wq-g975 LOW PyTorch: Manipulation of the argument scale/zero_point leads to improper initialization via Quantized Sigmoid Module 2.4.0 - -
torch PYSEC-2025-190 LOW - 2.4.0 - -
torch GHSA-c678-jfcj-6jmf LOW PyTorch Tuple Handler is Vulnerable to Memory Corruption through Manipulation of None Argument 2.4.0 - -
torch PYSEC-2025-195 LOW - 2.4.0 - -
torch PYSEC-2025-210 low - 2.4.0 - -
torch CVE-2025-63396 low - 2.4.0 - -
torch PYSEC-2025-191 LOW - 2.4.0 - -
torch GHSA-3749-ghw9-m3mg LOW PyTorch susceptible to local Denial of Service 2.4.0 2.7.1-rc1 -
torch PYSEC-2026-139 low - 2.4.0 - -
torch CVE-2026-4538 low PyTorch pt2 Loading deserialization 2.4.0 - -
torch GHSA-qfhq-4f3w-5fph LOW PyTorch is vulnerable to memory corruption through its torch.lstm_cell function 2.4.0 2.10.0 -
torch CVE-2025-3001 LOW PyTorch torch.lstm_cell memory corruption 2.4.0 - -
torch GHSA-rrmf-rvhw-rf47 LOW PyTorch is vulnerable to memory corruption through its torch.jit.script function 2.4.0 2.13.0 -
torch PYSEC-2025-194 LOW - 2.4.0 - -
torch CVE-2025-3000 LOW PyTorch torch.jit.script memory corruption 2.4.0 - -

Review Checklist

Standard review:

  • Review changes for compatibility with your code
  • Check for breaking changes in release notes
  • Run tests locally or wait for CI
  • Approve and merge this PR

Update Mode: all_vulns

🤖 Generated by DataDog Automated Dependency Management System

Co-authored-by: gh-worker-campaigns-3e9aa4[bot] <244854796+gh-worker-campaigns-3e9aa4[bot]@users.noreply.github.com>
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Auto-rebase complete

Branch is up to date with main — rebased onto c079fd7.


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@dd-octo-sts-4aefcb
dd-octo-sts-4aefcb Bot force-pushed the engraver-auto-version-upgrade/minorpatch/pep621/dd_unit_scaling/1-1788163765 branch from 5c8a836 to dc1118f Compare September 8, 2026 15:48
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