GHSA-QV4Q-MR5R-QPRJ
Vulnerability from github – Published: 2022-12-08 03:03 – Updated: 2022-12-08 03:03
VLAI
Summary
Unchecked return value from xmlTextReaderExpand
Details
Summary
Nokogiri 1.13.8, 1.13.9 fails to check the return value from xmlTextReaderExpand in the method Nokogiri::XML::Reader#attribute_hash. This can lead to a null pointer exception when invalid markup is being parsed.
For applications using XML::Reader to parse untrusted inputs, this may potentially be a vector for a denial of service attack.
Mitigation
Upgrade to Nokogiri >= 1.13.10.
Users may be able to search their code for calls to either XML::Reader#attributes or XML::Reader#attribute_hash to determine if they are affected.
Severity
The Nokogiri maintainers have evaluated this as High Severity 7.5 (CVSS3.1).
References
Credit
This vulnerability was responsibly reported by @davidwilemski.
Severity
7.5 (High)
{
"affected": [
{
"package": {
"ecosystem": "RubyGems",
"name": "nokogiri"
},
"ranges": [
{
"events": [
{
"introduced": "1.13.8"
},
{
"fixed": "1.13.10"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-23476"
],
"database_specific": {
"cwe_ids": [
"CWE-252",
"CWE-476"
],
"github_reviewed": true,
"github_reviewed_at": "2022-12-08T03:03:33Z",
"nvd_published_at": "2022-12-08T04:15:00Z",
"severity": "HIGH"
},
"details": "## Summary\n\nNokogiri `1.13.8, 1.13.9` fails to check the return value from `xmlTextReaderExpand` in the method `Nokogiri::XML::Reader#attribute_hash`. This can lead to a null pointer exception when invalid markup is being parsed. \n\nFor applications using `XML::Reader` to parse untrusted inputs, this may potentially be a vector for a denial of service attack.\n\n\n## Mitigation\n\nUpgrade to Nokogiri `\u003e= 1.13.10`.\n\nUsers may be able to search their code for calls to either `XML::Reader#attributes` or `XML::Reader#attribute_hash` to determine if they are affected.\n\n\n## Severity\n\nThe Nokogiri maintainers have evaluated this as [High Severity 7.5 (CVSS3.1)](https://www.first.org/cvss/calculator/3.1#CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).\n\n\n## References\n\n- [CWE - CWE-252: Unchecked Return Value (4.9)](https://cwe.mitre.org/data/definitions/252.html)\n- [CWE - CWE-476: NULL Pointer Dereference (4.9)](https://cwe.mitre.org/data/definitions/476.html)\n\n\n## Credit\n\nThis vulnerability was responsibly reported by @davidwilemski.\n",
"id": "GHSA-qv4q-mr5r-qprj",
"modified": "2022-12-08T03:03:33Z",
"published": "2022-12-08T03:03:33Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/sparklemotion/nokogiri/security/advisories/GHSA-qv4q-mr5r-qprj"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23476"
},
{
"type": "WEB",
"url": "https://github.com/sparklemotion/nokogiri/commit/85410e38410f670cbbc8c5b00d07b843caee88ce"
},
{
"type": "WEB",
"url": "https://github.com/sparklemotion/nokogiri/commit/9fe0761c47c0d4270d1a5220cfd25de080350d50"
},
{
"type": "WEB",
"url": "https://github.com/rubysec/ruby-advisory-db/blob/master/gems/nokogiri/CVE-2022-23476.yml"
},
{
"type": "PACKAGE",
"url": "https://github.com/sparklemotion/nokogiri"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Unchecked return value from xmlTextReaderExpand"
}
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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
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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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