Evidence used
- No CISA KEV confirmation is currently recorded.
- A structured source references public exploit or proof-of-concept material.
- EPSS is 0.98% for the current model date.
BlackTreeCVE Intelligencepytorchlightning · pytorchlightning/pytorch-lightning
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
These OSV and GitHub advisory ranges apply only to the named package and ecosystem. A listed fixed version is not a universal product patch or proof that an update is installed.
| Ecosystem and package | Affected range | First fixed version | Evidence |
|---|---|---|---|
| PyPIlightning | GIT: introduced 0; fixed 62f1e82e032eb16565e676d39e0db0cac7e34ace | 62f1e82e032eb16565e676d39e0db0cac7e34ace | OSV record ↗source linked ecosystem record · 10 Sep 2026 |
| PyPIlightning | ECOSYSTEM: introduced 0; fixed 1.6.0 | 1.6.0 | OSV record ↗source linked ecosystem record · 10 Sep 2026 |
| PyPIpytorch-lightning | ECOSYSTEM: introduced 0; fixed 1.6.0 | 1.6.0 | OSV record ↗aggregator derived · 10 Sep 2026 |
| PyPIpytorch-lightning | GIT: introduced 0; fixed 62f1e82e032eb16565e676d39e0db0cac7e34ace | 62f1e82e032eb16565e676d39e0db0cac7e34ace | OSV record ↗source linked ecosystem record · 10 Sep 2026 |
| PyPIpytorch-lightning | ECOSYSTEM: introduced 0; fixed 1.6.0 | 1.6.0 | OSV record ↗source linked ecosystem record · 10 Sep 2026 |
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
Patch availablepytorch-lightning is vulnerable to Deserialization of Untrusted Data
pytorch-lightning is vulnerable to Deserialization of Untrusted Data
Attacker-influenced serialised data is reconstructed as trusted objects, which can invoke dangerous application behaviour.
An attacker operating through local access may attempt exploitation without authentication after a user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
pytorch-lightning is vulnerable to Deserialization of Untrusted Data
Attacker-influenced serialised data is reconstructed as trusted objects, which can invoke dangerous application behaviour.
An attacker operating through local access may attempt exploitation without authentication after a user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
A structured CVE source labels at least one public reference as exploit material. BlackTree has not independently validated that it is safe, reliable or weaponised.
CWE-502: Deserialization of Untrusted Data. The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HCommon Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 23 Dec 2021 · Last source change 3 Aug 2024, 17:16 UTC · CWE-502 · Deserialization of Untrusted Data
Core structured fields are present and their contributing authorities are shown above.
No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.