Cyber Resilience

CVE-2023-49568

High

Published: 12 January 2024

Published
12 January 2024
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0011 29.4th percentile
Risk Priority 15 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-49568 is a high-severity Improper Input Validation (CWE-20) vulnerability in Go-Git Project Go-Git. Its CVSS base score is 7.5 (High).

Operationally, ranked at the 29.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

A denial of service (DoS) vulnerability was discovered in go-git versions prior to v5.11. This vulnerability allows an attacker to perform denial of service attacks by providing specially crafted responses from a Git server which triggers resource exhaustion in go-git…

more

clients. Applications using only the in-memory filesystem supported by go-git are not affected by this vulnerability. This is a go-git implementation issue and does not affect the upstream git cli.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

go-git project
go-git
4.0.0 — 5.11.0

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References