brew-imap-backup-cve-2018-1000201
Vulnerability from osv_homebrew
Published
2026-08-13 16:59
Modified
2026-08-13 16:59
Summary
Ruby-ffi has a DLL loading issue
Details
ruby-ffi version 1.9.23 and earlier has a DLL loading issue which can be hijacked on Windows OS, when a Symbol is used as DLL name instead of a String This vulnerability appears to have been fixed in v1.9.24 and later.
Severity
7.8 (High)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "ffi",
"resource_purl": "pkg:gem/ffi@1.17.4",
"upstream_fixed_in": "1.9.24"
},
"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/ffi@1.17.4",
"name": "ffi",
"resource": "ffi",
"strategy": "registry",
"subject_version": "1.17.4"
}
]
},
"details": "ruby-ffi version 1.9.23 and earlier has a DLL loading issue which can be hijacked on Windows OS, when a Symbol is used as DLL name instead of a String This vulnerability appears to have been fixed in v1.9.24 and later.",
"id": "BREW-imap-backup-CVE-2018-1000201",
"modified": "2026-08-13T16:59:45Z",
"published": "2026-08-13T16:59:45Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-1000201"
},
{
"type": "WEB",
"url": "https://github.com/ffi/ffi/commit/09e0c6076466b4383da7fa4e13f714311109945a"
},
{
"type": "WEB",
"url": "https://github.com/ffi/ffi/commit/e0fe486df0e117ed67b0282b6ada04b7214ca05c"
},
{
"type": "PACKAGE",
"url": "https://github.com/ffi/ffi"
},
{
"type": "WEB",
"url": "https://github.com/ffi/ffi/releases/tag/1.9.24"
},
{
"type": "WEB",
"url": "https://github.com/rubysec/ruby-advisory-db/blob/master/gems/ffi/CVE-2018-1000201.yml"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Ruby-ffi has a DLL loading issue ",
"upstream": [
"GHSA-2gw2-8q9w-cw8p",
"CVE-2018-1000201"
]
}
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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.
- 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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