FKIE_CVE-2026-9270
Vulnerability from fkie_nvd - Published: 2026-06-05 16:16 - Updated: 2026-06-17 11:04
Severity
Summary
DataDog::DogStatsd versions through 0.07 for Perl allow metric injections.
DataDog::DogStatsd does not properly sanitise input, allowing metric injections of data from untrusted sources.
The send_stats method does not remove newlines from metric names ($stat variable), allowing attackers to change the metric name prefix.
The send_stats method does not validate the content of the value ($delta variable), allowing attackers to inject metrics, especially from methods that do not restrict the data type for the value, such as set, gauge, count and histogram.
The send_stats method does not validate the content of the tags, which may contain newlines, pipes and colons that allow metric injections.
Note that the SYNOPSIS shows an example of passing a website form "loginName" parameter as a tag, which is unsafe.
References
| URL | Tags | ||
|---|---|---|---|
| 9b29abf9-4ab0-4765-b253-1875cd9b441e | https://www.cve.org/CVERecord?id=CVE-2026-46719 | Third Party Advisory | |
| 9b29abf9-4ab0-4765-b253-1875cd9b441e | https://www.cve.org/CVERecord?id=CVE-2026-46720 | Third Party Advisory | |
| 9b29abf9-4ab0-4765-b253-1875cd9b441e | https://www.cve.org/CVERecord?id=CVE-2026-46741 | Third Party Advisory |
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://cpan.org/modules",
"defaultStatus": "unaffected",
"packageName": "DataDog-DogStatsd",
"product": "DataDog::DogStatsd",
"programRoutines": [
{
"name": "DataDog::DogStatsd::send_stats"
},
{
"name": "DataDog::DogStatsd::set"
},
{
"name": "DataDog::DogStatsd::gauge"
},
{
"name": "DataDog::DogStatsd::count"
},
{
"name": "DataDog::DogStatsd::histogram"
}
],
"repo": "https://github.com/binary-com/dogstatsd-perl",
"vendor": "BINARY",
"versions": [
{
"lessThanOrEqual": "0.07",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:binary:datadog\\:\\:dogstatsd:*:*:*:*:*:perl:*:*",
"matchCriteriaId": "7698C317-26E6-4CC9-8811-62E53194508F",
"versionEndIncluding": "0.07",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "DataDog::DogStatsd versions through 0.07 for Perl allow metric injections.\n\nDataDog::DogStatsd does not properly sanitise input, allowing metric injections of data from untrusted sources.\n\nThe send_stats method does not remove newlines from metric names ($stat variable), allowing attackers to change the metric name prefix.\n\nThe send_stats method does not validate the content of the value ($delta variable), allowing attackers to inject metrics, especially from methods that do not restrict the data type for the value, such as set, gauge, count and histogram.\n\nThe send_stats method does not validate the content of the tags, which may contain newlines, pipes and colons that allow metric injections.\n\nNote that the SYNOPSIS shows an example of passing a website form \"loginName\" parameter as a tag, which is unsafe."
}
],
"id": "CVE-2026-9270",
"lastModified": "2026-06-17T11:04:59.553",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.2,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-9270",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-06-08T18:17:00.524236Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-06-05T16:16:41.780",
"references": [
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"tags": [
"Third Party Advisory"
],
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46719"
},
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"tags": [
"Third Party Advisory"
],
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46720"
},
{
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"tags": [
"Third Party Advisory"
],
"url": "https://www.cve.org/CVERecord?id=CVE-2026-46741"
}
],
"sourceIdentifier": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-93"
},
{
"lang": "en",
"value": "CWE-150"
}
],
"source": "9b29abf9-4ab0-4765-b253-1875cd9b441e",
"type": "Secondary"
}
]
}
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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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