Vulnerability in picklescan (CVE-2026-53875)
Summary
Vulnerability in picklescan (CVE-2026-53875). Risk of unauthorized operations or information disclosure. Exploitable via scan_pytorch. Mitigation: upgrade to 1.0.3 or later.
Original description
The description as published by the source.
picklescan before 1.0.3 contains a scanning bypass vulnerability in the scan_pytorch function that allows attackers to embed malicious magic numbers via dynamic eval using the reduce trick. Attackers can craft malicious PyTorch payloads that evade picklescan detection while remaining executable, enabling arbitrary code execution when loaded with torch.load().
Source: GitHub Security Advisories (Global) NVD GitHub Advisory
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2026-53875 has been found in picklescan.
Attackers can target a specific entry point like scan_pytorch over the network to misuse the product.
Risk of unauthorized operations or information disclosure.
What to do: upgrade picklescan to 1.0.3 or later.
If unsure, ask your IT team or search "picklescan CVE-2026-53875" on the vendor's site.
CVE-2026-53875 (picklescan) — CWE-184
Attack surface: scan_pytorch / picklescan / magic_number / opcode.name
Patched: 1.0.3 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
A vulnerability (CWE-184) exists in picklescan. Attackers reach the vulnerable code path via scan_pytorch.
Check the vendor advisory for the affected versions of picklescan. Attack surface: scan_pytorch / picklescan / magic_number / opcode.name.
Severity: ?. Risk of unauthorized operations or information disclosure.
Update to 1.0.3.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'picklescan' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
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1Identify exposure identify
grep -r 'picklescan' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で
picklescanを grep し、稼働しているサービス・バージョンを把握する。 -
2Apply patch patch
Upgrade picklescan to 1.0.3ステージング環境で 1.0.3 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。
-
3Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。
Affected packages
References
- advisory github.com
- advisory nvd.nist.gov
- advisory vulncheck.com
- advisory github.com
- package github.com
- patch github.com
- patch github.com
- web github.com
- web github.com
- web github.com