Raw vector
CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:L/I:N/A:HSummary
CVE-2026-57451 is a medium-severity Out-of-bounds Read (CWE-125) vulnerability in Vim Vim. Its CVSS base score is 5.3 (Medium).
Operationally, ranked at the 2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and SI-2 (Flaw Remediation) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-39449
Vulnerability Data
Vim is an open source, command line text editor. Prior to 9.2.0670, get_text_props() in src/textprop.c reads a uint16 property count stored inline after a line's text and returns it as the number of 32-byte textprop_T entries that follow. The only…
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check is a floor that guarantees room for a single entry; the count is never checked against the amount of data actually present. A line that declares a large count while carrying little data causes consumers to read far past the end of the line buffer. Such a line can be delivered through a crafted undo file, leading to a crash. This vulnerability is fixed in 9.2.0670.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Insufficient information to map techniques.CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly requires validation of the uint16 property count against actual buffer length before get_text_props() performs the out-of-bounds read.
Requires integrity verification of undo files before Vim parses their textprop structures, blocking crafted inputs that trigger CWE-125.
Mandates prompt application of the 9.2.0670 patch that adds the missing bounds check on the property count read from undo files.
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.
Secure-development practices such as bounds checking and memory-safe languages directly prevent out-of-bounds reads.
Vulnerability scanning and recording can discover instances of out-of-bounds reads after code is deployed.
Routine patching replaces vulnerable code containing out-of-bounds read flaws.
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.
Security testing in development and acceptance includes fuzzing and static analysis that detect out-of-bounds read defects before release.
Logging can record evidence of an out-of-bounds read but does not prevent the weakness itself.
Secure development life cycle mandates input validation and bounds checking that directly prevent out-of-bounds reads.
Application security requirements include explicit bounds and memory-safety specifications that mitigate buffer over-reads.
Secure system architecture and engineering principles require memory-safe design patterns and runtime protections against out-of-bounds access.
Secure coding standards explicitly forbid unsafe pointer arithmetic and mandate bounds-checked reads, eliminating CWE-125.