Lightning-AI pytorch-lightning 2.6.2/2.6.3 malicious code

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
8.5$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in Lightning-AI pytorch-lightning 2.6.2/2.6.3. The affected element is an unknown function. Performing a manipulation results in malicious code. This vulnerability is reported as CVE-2026-44484. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability classified as critical has been found in Lightning-AI pytorch-lightning 2.6.2/2.6.3. This affects some unknown functionality. The manipulation with an unknown input leads to a malicious code vulnerability. CWE is classifying the issue as CWE-506. The product contains code that appears to be malicious in nature. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

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.

The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-44484 since 05/06/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 05/22/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.5

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Malicious code
CWE: CWE-506
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

05/06/2026 CVE reserved
05/14/2026 +8 days Advisory disclosed
05/14/2026 +0 days VulDB entry created
05/22/2026 +8 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-w37p-236h-pfx3
Status: Confirmed

CVE: CVE-2026-44484 (🔒)
GCVE (CVE): GCVE-0-2026-44484
GCVE (VulDB): GCVE-100-363897

Entryinfo

Created: 05/14/2026 17:32
Updated: 05/22/2026 09:29
Changes: 05/14/2026 17:32 (65), 05/22/2026 09:29 (11)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Discussion

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