An insertion of sensitive information into log file vulnerability was identified in the log files for a GitHub Enterprise Server back-end service that could permit an `adversary in the middle attack` when combined with other phishing techniques. To exploit this, an attacker would need access to the log files for the GitHub Enterprise Server appliance, a backup archive created with GitHub Enterprise Server Backup Utilities, or a service which received streamed logs. This vulnerability affected all versions of GitHub Enterprise Server since 3.7 and was fixed in version 3.7.19, 3.8.12, 3.9.7, 3.10.4, and 3.11.1.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 8.1, indicating it can be exploited remotely over the network with relatively low complexity though user interaction is required . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), for affected systems. Impacting 1 product from github organizations running these solutions should prioritize assessment and patching.
Reported in 2023, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2023-12-21T21:15:14.303
2024-12-16T19:07:48.603
Analyzed
CVSSv3.1: 8.1 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | github | enterprise_server | < 3.7.19 | Yes |
| Application | github | enterprise_server | < 3.8.12 | Yes |
| Application | github | enterprise_server | < 3.9.7 | Yes |
| Application | github | enterprise_server | < 3.10.4 | Yes |
| Application | github | enterprise_server | 3.11.0 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For github's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.