CVE-2026-19072 (GCVE-0-2026-19072)
Vulnerability from cvelistv5 – Published: 2026-09-24 12:52 – Updated: 2026-09-25 03:55
VLAI
EPSS
VEX
Title
Velociraptor Investigator reaches SuperUser via hunt EffectivePrincipal
Summary
Velociraptor stores the compiled VQL in the hunt object internally to avoid having to recompile the artifacts for each endpoint in the hunt. Although the field "compiled_collector_args" is an internal field, Velociraptor allowed the field to be set from a user API call. This allows another user who can schedule a hunt (minimal role of "investigator" ) to set the compiled VQL statements for the hunt bypassing any ACL checks that would normally be applied.
This flaw can then be escalated to allow the "investigator" user to run arbitrary VQL statements as an administrator user on the Velociraptor server.
Severity
9.9 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-24 00:00 UTC
CWE
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Rapid7 | Velociraptor |
Affected:
0 , < 0.77.2
(semver)
|
guessed |
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-19072",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-24T00:00:00+00:00",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-09-25T03:55:27.705Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "Velociraptor",
"repo": "https://github.com/Velocidex/velociraptor/",
"vendor": "Rapid7",
"versions": [
{
"lessThan": "0.77.2",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Yuval Miller"
},
{
"lang": "en",
"type": "finder",
"value": "Leon Kayaliev"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eVelociraptor stores the compiled VQL in the hunt object internally to avoid having to recompile the artifacts for each endpoint in the hunt. Although the field \"compiled_collector_args\" is an internal field, Velociraptor allowed the field to be set from a user API call. This allows another user who can schedule a hunt (minimal role of \"investigator\" ) to set the compiled VQL statements for the hunt bypassing any ACL checks that would normally be applied.\u003c/p\u003e\u003cdiv\u003e\u003cbr\u003e\u003c/div\u003e\u003cdiv\u003eThis flaw can then be escalated to allow the \"investigator\" user to run arbitrary VQL statements as an administrator user on the Velociraptor server.\u003c/div\u003e"
}
],
"value": "Velociraptor stores the compiled VQL in the hunt object internally to avoid having to recompile the artifacts for each endpoint in the hunt. Although the field \"compiled_collector_args\" is an internal field, Velociraptor allowed the field to be set from a user API call. This allows another user who can schedule a hunt (minimal role of \"investigator\" ) to set the compiled VQL statements for the hunt bypassing any ACL checks that would normally be applied.\n\n\n\n\nThis flaw can then be escalated to allow the \"investigator\" user to run arbitrary VQL statements as an administrator user on the Velociraptor server."
}
],
"impacts": [
{
"capecId": "CAPEC-233",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-233 Privilege Escalation"
}
]
},
{
"capecId": "CAPEC-153",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-153 Input Data Manipulation"
}
]
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-1269",
"description": "CWE-1269 Product released in Non-Release configuration",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-164",
"description": "CWE-164 Improper neutralization of internal special elements",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-24T12:52:51.864Z",
"orgId": "9974b330-7714-4307-a722-5648477acda7",
"shortName": "rapid7"
},
"references": [
{
"url": "https://docs.velociraptor.app/announcements/advisories/cve-2026-19072/"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "Velociraptor Investigator reaches SuperUser via hunt EffectivePrincipal",
"x_generator": {
"engine": "Vulnogram 1.0.5"
}
}
},
"cveMetadata": {
"assignerOrgId": "9974b330-7714-4307-a722-5648477acda7",
"assignerShortName": "rapid7",
"cveId": "CVE-2026-19072",
"datePublished": "2026-09-24T12:52:51.864Z",
"dateReserved": "2026-08-06T09:16:50.394Z",
"dateUpdated": "2026-09-25T03:55:27.705Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-19072",
"date": "2026-09-27",
"epss": "0.00398",
"percentile": "0.31404"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Velociraptor",
"repo": "https://github.com/Velocidex/velociraptor/",
"vendor": "Rapid7",
"versions": [
{
"lessThan": "0.77.2",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "cve@rapid7.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Velociraptor stores the compiled VQL in the hunt object internally to avoid having to recompile the artifacts for each endpoint in the hunt. Although the field \"compiled_collector_args\" is an internal field, Velociraptor allowed the field to be set from a user API call. This allows another user who can schedule a hunt (minimal role of \"investigator\" ) to set the compiled VQL statements for the hunt bypassing any ACL checks that would normally be applied.\n\n\n\n\nThis flaw can then be escalated to allow the \"investigator\" user to run arbitrary VQL statements as an administrator user on the Velociraptor server."
}
],
"id": "CVE-2026-19072",
"lastModified": "2026-09-25T04:17:34.920",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 6.0,
"source": "cve@rapid7.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-19072",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-24T00:00:00+00:00",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-24T13:17:09.500",
"references": [
{
"source": "cve@rapid7.com",
"url": "https://docs.velociraptor.app/announcements/advisories/cve-2026-19072/"
}
],
"sourceIdentifier": "cve@rapid7.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-164"
},
{
"lang": "en",
"value": "CWE-1269"
}
],
"source": "cve@rapid7.com",
"type": "Secondary"
}
]
}
},
"suse_vex": {
"aggregate_severity": "critical",
"current_release_date": "2026-09-24T23:53:25Z",
"cve": "CVE-2026-19072",
"id": "CVE-2026-19072",
"initial_release_date": "2026-09-24T16:34:59Z",
"product_status:known_affected": "5",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2026-19072",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2026-19072.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-19072",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-24T14:42:16.509565Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-09-24T14:42:20.807Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "Velociraptor",
"repo": "https://github.com/Velocidex/velociraptor/",
"vendor": "Rapid7",
"versions": [
{
"lessThan": "0.77.2",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Yuval Miller"
},
{
"lang": "en",
"type": "finder",
"value": "Leon Kayaliev"
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eVelociraptor stores the compiled VQL in the hunt object internally to avoid having to recompile the artifacts for each endpoint in the hunt. Although the field \"compiled_collector_args\" is an internal field, Velociraptor allowed the field to be set from a user API call. This allows another user who can schedule a hunt (minimal role of \"investigator\" ) to set the compiled VQL statements for the hunt bypassing any ACL checks that would normally be applied.\u003c/p\u003e\u003cdiv\u003e\u003cbr\u003e\u003c/div\u003e\u003cdiv\u003eThis flaw can then be escalated to allow the \"investigator\" user to run arbitrary VQL statements as an administrator user on the Velociraptor server.\u003c/div\u003e"
}
],
"value": "Velociraptor stores the compiled VQL in the hunt object internally to avoid having to recompile the artifacts for each endpoint in the hunt. Although the field \"compiled_collector_args\" is an internal field, Velociraptor allowed the field to be set from a user API call. This allows another user who can schedule a hunt (minimal role of \"investigator\" ) to set the compiled VQL statements for the hunt bypassing any ACL checks that would normally be applied.\n\n\n\n\nThis flaw can then be escalated to allow the \"investigator\" user to run arbitrary VQL statements as an administrator user on the Velociraptor server."
}
],
"impacts": [
{
"capecId": "CAPEC-233",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-233 Privilege Escalation"
}
]
},
{
"capecId": "CAPEC-153",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-153 Input Data Manipulation"
}
]
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.9,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-1269",
"description": "CWE-1269 Product released in Non-Release configuration",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-164",
"description": "CWE-164 Improper neutralization of internal special elements",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-24T12:52:51.864Z",
"orgId": "9974b330-7714-4307-a722-5648477acda7",
"shortName": "rapid7"
},
"references": [
{
"url": "https://docs.velociraptor.app/announcements/advisories/cve-2026-19072/"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "Velociraptor Investigator reaches SuperUser via hunt EffectivePrincipal",
"x_generator": {
"engine": "Vulnogram 1.0.5"
}
}
},
"cveMetadata": {
"assignerOrgId": "9974b330-7714-4307-a722-5648477acda7",
"assignerShortName": "rapid7",
"cveId": "CVE-2026-19072",
"datePublished": "2026-09-24T12:52:51.864Z",
"dateReserved": "2026-08-06T09:16:50.394Z",
"dateUpdated": "2026-09-25T03:55:27.705Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…