BREW-IMAP-BACKUP-CVE-201… (GHSA-34HF-G744-JW64)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:59 – Updated: 2026-08-13 16:59 – Source website
VLAI
Summary
i18n Vulnerable to Denial of Service Attack
Details
Hash#slice in lib/i18n/core_ext/hash.rb in the i18n gem before 0.8.0 for Ruby allows remote attackers to cause a denial of service (application crash) via a call in a situation where :some_key is present in keep_keys but not present in the hash.
Severity
7.5 (High)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "i18n",
"resource_purl": "pkg:gem/i18n@1.14.8",
"upstream_fixed_in": "0.8.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "imap-backup",
"purl": "pkg:brew/imap-backup"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "16.6.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "RubyGems",
"key": "pkg:gem/i18n@1.14.8",
"name": "i18n",
"resource": "i18n",
"strategy": "registry",
"subject_version": "1.14.8"
}
]
},
"details": "Hash#slice in lib/i18n/core_ext/hash.rb in the i18n gem before 0.8.0 for Ruby allows remote attackers to cause a denial of service (application crash) via a call in a situation where :some_key is present in keep_keys but not present in the hash.",
"id": "BREW-imap-backup-CVE-2014-10077",
"modified": "2026-08-13T16:59:45Z",
"published": "2026-08-13T16:59:45Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2014-10077"
},
{
"type": "WEB",
"url": "https://github.com/ruby-i18n/i18n/pull/250/commits/08293a41b34e93824563ca0f5b9b97e7451b6387"
},
{
"type": "WEB",
"url": "https://github.com/rubysec/ruby-advisory-db/pull/182/files"
},
{
"type": "WEB",
"url": "https://github.com/svenfuchs/i18n/pull/289"
},
{
"type": "WEB",
"url": "https://github.com/rubysec/ruby-advisory-db/blob/master/gems/i18n/CVE-2014-10077.yml"
},
{
"type": "PACKAGE",
"url": "https://github.com/svenfuchs/i18n"
},
{
"type": "WEB",
"url": "https://github.com/svenfuchs/i18n/releases/tag/v0.8.0"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2018/11/msg00021.html"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "i18n Vulnerable to Denial of Service Attack",
"upstream": [
"GHSA-34hf-g744-jw64",
"CVE-2014-10077"
]
}
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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
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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