BREW-MAILCATCHER-CVE-2011-0739 (GHSA-CPJC-P7FC-J9XH)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:11 – Updated: 2026-09-04 09:28 – Source website
VLAI
Summary
Mail Improper Input Validation vulnerability
Details
The deliver function in the sendmail delivery agent (lib/mail/network/delivery_methods/sendmail.rb) in Ruby Mail gem 2.2.14 and earlier allows remote attackers to execute arbitrary commands via shell metacharacters in an e-mail address.
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "mail",
"resource_purl": "pkg:gem/mail@2.9.1",
"upstream_fixed_in": "2.2.15"
},
"package": {
"ecosystem": "Homebrew",
"name": "mailcatcher",
"purl": "pkg:brew/mailcatcher"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.10.0_2"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "RubyGems",
"key": "pkg:gem/mail@2.9.1",
"name": "mail",
"resource": "mail",
"strategy": "registry",
"subject_version": "2.9.1"
}
]
},
"details": "The deliver function in the sendmail delivery agent (`lib/mail/network/delivery_methods/sendmail.rb`) in Ruby Mail gem 2.2.14 and earlier allows remote attackers to execute arbitrary commands via shell metacharacters in an e-mail address.",
"id": "BREW-mailcatcher-CVE-2011-0739",
"modified": "2026-09-04T09:28:54Z",
"published": "2026-08-13T17:11:30Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2011-0739"
},
{
"type": "WEB",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/65010"
},
{
"type": "PACKAGE",
"url": "https://github.com/mikel/mail"
},
{
"type": "WEB",
"url": "https://github.com/mikel/mail/raw/master/patches/20110126_sendmail.patch"
},
{
"type": "WEB",
"url": "https://github.com/rubysec/ruby-advisory-db/blob/master/gems/mail/CVE-2011-0739.yml"
},
{
"type": "WEB",
"url": "https://web.archive.org/web/20200228225346/http://www.securityfocus.com/bid/46021"
},
{
"type": "WEB",
"url": "http://groups.google.com/group/mail-ruby/browse_thread/thread/e93bbd05706478dd?pli=1"
}
],
"schema_version": "1.7.3",
"summary": "Mail Improper Input Validation vulnerability",
"upstream": [
"GHSA-cpjc-p7fc-j9xh",
"CVE-2011-0739"
]
}
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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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