BREW-YAJL-CVE-2017-16516 (CVE-2017-16516)
Vulnerability from osv_homebrew – Published: 2026-07-18 04:02 – Updated: 2026-07-18 04:02 – Source website
VLAI
Details
In the yajl-ruby gem 1.3.0 for Ruby, when a crafted JSON file is supplied to Yajl::Parser.new.parse, the whole ruby process crashes with a SIGABRT in the yajl_string_decode function in yajl_encode.c. This results in the whole ruby process terminating and potentially a denial of service.
Severity
7.5 (High)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "patch",
"patches": [
{
"apply": [
"patches/dynamically-link-tools.patch",
"patches/CVE-2017-16516.patch",
"patches/CVE-2022-24795.patch",
"patches/CVE-2023-33460.patch",
"patches/6fe59ca50dfd65bdb3d1c87a27245b2dd1a072f9.patch"
],
"type": "unofficial",
"url": "https://deb.debian.org/debian/pool/main/y/yajl/yajl_2.1.0-6.debian.tar.xz"
}
]
},
"package": {
"ecosystem": "Homebrew",
"name": "yajl",
"purl": "pkg:brew/yajl"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.1.0_1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"source": "generated"
},
"details": "In the yajl-ruby gem 1.3.0 for Ruby, when a crafted JSON file is supplied to Yajl::Parser.new.parse, the whole ruby process crashes with a SIGABRT in the yajl_string_decode function in yajl_encode.c. This results in the whole ruby process terminating and potentially a denial of service.",
"id": "BREW-yajl-CVE-2017-16516",
"modified": "2026-07-18T04:02:33Z",
"published": "2026-07-18T04:02:33Z",
"references": [
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2023/07/msg00013.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2023/08/msg00003.html"
},
{
"type": "ADVISORY",
"url": "https://lists.debian.org/debian-lts-announce/2017/11/msg00010.html"
},
{
"type": "ADVISORY",
"url": "https://rubygems.org/gems/yajl-ruby"
},
{
"type": "EVIDENCE",
"url": "https://github.com/brianmario/yajl-ruby/issues/176"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"upstream": [
"CVE-2017-16516",
"GHSA-wwh7-4jw9-33x6"
]
}
Loading…
Loading…
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.
Loading…
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.
Loading…
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.
Loading…