CVE-2022-23521 Details
Git is distributed revision control system. gitattributes are a mechanism to allow defining attributes for paths. These attributes can be defined by adding a `.gitattributes` file to the repository, which contains a set of file patterns and the attributes that should be set for paths matching this pattern. When parsing gitattributes, multiple integer overflows can occur when there is a huge number of path patterns, a huge number of attributes for a single pattern, or when the declared attribute names are huge. These overflows can be triggered via a crafted `.gitattributes` file that may be part of the commit history. Git silently splits lines longer than 2KB when parsing gitattributes from a file, but not when parsing them from the index. Consequentially, the failure mode depends on whether the file exists in the working tree, the index or both. This integer overflow can result in arbitrary heap reads and writes, which may result in remote code execution. The problem has been patched in the versions published on 2023-01-17, going back to v2.30.7. Users are advised to upgrade. There are no known workarounds for this issue.
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Exploit prediction scoring system (EPSS) score for CVE-2022-23521
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
21.38 Probability of exploitation activity being observed over the next 30 days (96th percentile)
CVSS score for CVE-2022-23521
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
9.8 Critical
Products affected by CVE-2022-23521
Git 1.7.0.4
Git 1.7.1
Git 1.7.10.4
Git 1.7.7.3
Git 1.8.3.1
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Low
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CVE-2022-23521 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 143 33.65%
DE 81 19.06%
FR 48 11.29%
GB 29 6.82%
CA 16 3.76%
NL 14 3.29%
SE 12 2.82%
FI 12 2.82%
AU 6 1.41%
RU 6 1.41%

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CVE-2022-23521 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 314 90.23%
Telecommunications 15 4.31%
Education 12 3.45%
Government/Politics 4 1.15%
Media/Entertainment 1 0.29%
Nonprofit/NGO 1 0.29%
Manufacturing 1 0.29%

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