FKIE_CVE-2026-42499
Vulnerability from fkie_nvd - Published: 2026-05-07 20:16 - Updated: 2026-08-18 12:19
Severity
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Summary
Pathological inputs could cause DoS through consumePhrase when parsing an email address according to RFC 5322.
References
{
"affected": [
{
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{
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"packageName": "net/mail",
"product": "net/mail",
"programRoutines": [
{
"name": "addrParser.consumePhrase"
},
{
"name": "AddressParser.Parse"
},
{
"name": "AddressParser.ParseList"
},
{
"name": "Header.AddressList"
},
{
"name": "ParseAddress"
},
{
"name": "ParseAddressList"
}
],
"vendor": "Go standard library",
"versions": [
{
"lessThan": "1.25.10",
"status": "affected",
"version": "0",
"versionType": "semver"
},
{
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"status": "affected",
"version": "1.26.0-0",
"versionType": "semver"
}
]
}
],
"source": "security@golang.org"
},
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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.
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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.
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.
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