GHSA-G3MM-4GGM-MRV5
Vulnerability from github – Published: 2026-10-10 15:30 – Updated: 2026-10-10 15:30
VLAI
Details
ExtUtils::Typemaps::STL::String versions before 1.06 for Perl T_STD_STRING typemap may read the SV length before stringifying the argument.
The typemap uses
$var = std::string( SvPV_nolen($arg), SvCUR($arg) )
However, evaluation order for C++ arguments is not specified, and some compilers may produce code that evalutes SvCUR($arg) first.
When $arg is not a string (for example, an interger, number or a reference) then SvCUR will return an invalid value, and the program may abort or segfault.
{
"affected": [],
"aliases": [
"CVE-2026-107373"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-10-10T13:17:31Z",
"severity": null
},
"details": "ExtUtils::Typemaps::STL::String versions before 1.06 for Perl T_STD_STRING typemap may read the SV length before stringifying the argument.\n\nThe typemap uses\n\n $var = std::string( SvPV_nolen($arg), SvCUR($arg) )\n\nHowever, evaluation order for C++ arguments is not specified, and some compilers may produce code that evalutes SvCUR($arg) first.\n\nWhen $arg is not a string (for example, an interger, number or a reference) then SvCUR will return an invalid value, and the program may abort or segfault.",
"id": "GHSA-g3mm-4ggm-mrv5",
"modified": "2026-10-10T15:30:22Z",
"published": "2026-10-10T15:30:22Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-107373"
},
{
"type": "WEB",
"url": "https://github.com/tsee/extutils-typemap-default/commit/a6b9c298b34ddadc582961403e715d292f82a22d"
},
{
"type": "WEB",
"url": "https://metacpan.org/release/SMUELLER/ExtUtils-Typemaps-Default-1.06/changes"
},
{
"type": "WEB",
"url": "https://rt.cpan.org/Public/Bug/Display.html?id=94110"
},
{
"type": "WEB",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-80490"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- 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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