GHSA-MRRW-GRHQ-86GF
Vulnerability from github – Published: 2023-02-28 20:30 – Updated: 2026-07-16 18:56
VLAI
Summary
Ascii (crate) allows out-of-bounds array indexing in safe code
Details
Affected version of this crate had implementation of From<&mut AsciiStr> for &mut [u8] and &mut str. This can result in out-of-bounds array indexing in safe code.
The flaw was corrected in commit 8a6c779 by removing those impls.
{
"affected": [
{
"package": {
"ecosystem": "crates.io",
"name": "ascii"
},
"ranges": [
{
"events": [
{
"introduced": "0.7.0"
},
{
"fixed": "0.9.3"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-119"
],
"github_reviewed": true,
"github_reviewed_at": "2023-02-28T20:30:10Z",
"nvd_published_at": null,
"severity": "MODERATE"
},
"details": "Affected version of this crate had implementation of `From\u003c\u0026mut AsciiStr\u003e` for `\u0026mut [u8]` and `\u0026mut str`. This can result in out-of-bounds array indexing in safe code.\n\nThe flaw was corrected in commit [8a6c779](https://github.com/tomprogrammer/rust-ascii/pull/63/commits/8a6c7798c202766bd57d70fb8d12739dd68fb9dc) by removing those impls.",
"id": "GHSA-mrrw-grhq-86gf",
"modified": "2026-07-16T18:56:57Z",
"published": "2023-02-28T20:30:10Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tomprogrammer/rust-ascii/issues/64"
},
{
"type": "WEB",
"url": "https://github.com/tomprogrammer/rust-ascii/pull/63/commits/8a6c7798c202766bd57d70fb8d12739dd68fb9dc"
},
{
"type": "PACKAGE",
"url": "https://github.com/tomprogrammer/rust-ascii"
},
{
"type": "WEB",
"url": "https://rustsec.org/advisories/RUSTSEC-2023-0015.html"
}
],
"schema_version": "1.4.0",
"severity": [],
"summary": "Ascii (crate) allows out-of-bounds array indexing in safe code"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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