Cyber Resilience

CVE-2026-44484

RCE in Lightningai Pytorch Lightning 2.6.2 … 2.6.3

Published
14 May 2026
Modified
15 July 2026
Patch / advisory
CVSS Score v4 9.3
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0039 33th percentile
Risk Priority 45 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2026-44484 is a critical-severity Embedded Malicious Code (CWE-506) vulnerability in Lightningai Pytorch Lightning. Its CVSS base score is 9.3 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Embedded Payloads (T1027.009); ranked at the 33th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Deep Learning Frameworks; in the Supply Chain and Deployment risk domain.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SC-44 (Detonation Chambers) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism.

CWE(s)

AI Security AnalysisAI

AI Category
Deep Learning Frameworks
Risk Domain
Supply Chain and Deployment
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: ai, deep learning, pytorch

Related Threats

MITRE ATT&CK Enterprise Techniques

T1027.009 Embedded Payloads Stealth
Adversaries may embed payloads within other files to conceal malicious content from defenses.
T1176 Software Extensions Persistence
Adversaries may abuse software extensions to establish persistent access to victim systems.
T1195.001 Compromise Software Dependencies and Development Tools Initial Access
Adversaries may manipulate software dependencies and development tools prior to receipt by a final consumer for the purpose of data or system compromise.
T1195.002 Compromise Software Supply Chain Initial Access
Adversaries may manipulate application software prior to receipt by a final consumer for the purpose of data or system compromise.
T1505.004 IIS Components Persistence
Adversaries may install malicious components that run on Internet Information Services (IIS) web servers to establish persistence.
T1505.005 Terminal Services DLL Persistence
Adversaries may abuse components of Terminal Services to enable persistent access to systems.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-58659Same product: Lightningai Pytorch Lightning
CVE-2024-8019Same product: Lightningai Pytorch Lightning
CVE-2024-5452Same product: Lightningai Pytorch Lightning
CVE-2024-8020Same product: Lightningai Pytorch Lightning
CVE-2026-31221Same product: Lightningai Pytorch Lightning
CVE-2024-5980Same product: Lightningai Pytorch Lightning
CVE-2025-55556Shared CWE-506
CVE-2026-24226Shared CWE-829
CVE-2025-59145Shared CWE-506
CVE-2025-54313Shared CWE-506

Affected Assets

lightningai
pytorch lightning
2.6.2, 2.6.3

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)
  • 9 hardening rules · 6 OS baselines
Validate
Prove the fix (OWASP ASVS)
  • V14.2.3
  • V3.5.6
  • V9.1.3
  • V15.3.2

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation can discover embedded malicious code before release.

Detonation chambers can reveal embedded malicious code through controlled execution analysis.

Integrity verification tools directly detect unauthorized or malicious code insertions.

Requires documented, valid provenance for components, preventing acceptance of code from outside the trusted sphere.

Tamper-resistance and detection mechanisms identify malicious code introduced via the supply chain.

Component authenticity requirements reduce the chance malicious code is embedded by developers or suppliers.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

GV.SC-01 partial match
prevents

Supply-chain program directly governs inclusion of third-party executable code.

GV.SC-05 partial match
prevents

Contractual requirements can mandate trusted sources and integrity checks for included functionality.

GV.SC-06 partial match
prevents

Due diligence prior to supplier relationships helps avoid sources of embedded malicious code.

GV.SC-07 partial match
prevents

Supplier risk assessment reduces likelihood of receiving products containing malicious code.

ID.AM-02 partial match
prevents

Software inventory enables tracking of externally sourced components but does not itself enforce trust.

ID.RA-09 partial match
prevents

Assessing authenticity and integrity before acquisition catches embedded malicious code.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

prevents

Requiring suppliers to furnish component lists, attestations, and cryptographic verification of delivered artefacts makes it harder for an attacker to embed hidden malicious code that would otherwise go undetected through the supply chain.

finds

Checks that executed code has not been tampered with and monitoring for malware-associated activity reduce the likelihood that hidden malicious code remains active.

Hardening callouts derived

Configuration rules from DISA STIG baselines that bear on weaknesses of the type cited by this CVE. Each rule is shown with the relationship its mapping actually records, against the CWE it was authored against. Derived via CVE→CWE over `controls_xwalks` (higher-evidence rows only; rows rated `none` are excluded).

Oracle Linux 8 (1 rule)
  • V-248635 Executable search paths within the initialization files of all local interactive OL 8 users must only contain paths that resolve to the system default or the user's home directory. prevents CWE-829
Oracle Linux 9 (2 rules)
  • V-271452 OL 9 must use a Linux Security Module configured to enforce limits on system services. prevents CWE-506
  • V-271847 OL 9 must be configured so that executable search paths within the initialization files of all local interactive users must only contain paths that resolve to the system default or the users home directory. prevents CWE-829
RHEL 7 (1 rule)
  • V-204477 The Red Hat Enterprise Linux operating system must be configured so that all local interactive user initialization files executable search paths contain only paths that resolve to the users home directory. prevents CWE-829
RHEL 8 (1 rule)
  • V-230317 Executable search paths within the initialization files of all local interactive RHEL 8 users must only contain paths that resolve to the system default or the users home directory. prevents CWE-829
RHEL 9 (2 rules)
  • V-258050 Executable search paths within the initialization files of all local interactive RHEL 9 users must only contain paths that resolve to the system default or the users home directory. prevents CWE-829
  • V-258078 RHEL 9 must use a Linux Security Module configured to enforce limits on system services. prevents CWE-506
Windows 10 (1 rule)
  • V-220737 Administrative accounts must not be used with applications that access the Internet, such as web browsers, or with potential Internet sources, such as email. prevents CWE-829

References