FKIE_CVE-2026-87722
Vulnerability from fkie_nvd - Published: 2026-09-24 22:17 - Updated: 2026-09-24 22:17
Severity
Summary
Uncontrolled Resource Consumption (CWE-400 / CWE-1333) in regex search query predicates (such as RegexProjectPredicate, RegexRefPredicate, RegexPathPredicate, and sibling predicates) and REST regex filter endpoints (RegexListSearcher /projects/?r= and RefFilter /projects/{project}/branches/?r=) in Gerrit Code Review versions 2.1.6 through 3.12.9, 3.13.0 through 3.13.8, and 3.14.0 through 3.14.2 allows an unauthenticated remote attacker (or an authenticated user if anonymous read access is disabled) to cause a denial of service (CPU starvation and JVM heap exhaustion / OutOfMemoryError) via crafted search queries or REST API requests containing regular expressions with large counted repetitions or exponential DFA determinization patterns. Because the user-supplied regular expression is compiled into an unbounded dk.brics.automaton instance (new RegExp(re).toAutomaton()) on the request thread prior to index evaluation or access control visibility filtering, trivial queries can exhaust JVM heap or pin request threads regardless of heap size. This issue is fixed in Gerrit Code Review versions 3.12.10, 3.13.9, and 3.14.3.
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Gerrit",
"vendor": "Gerrit",
"versions": [
{
"lessThan": "3.12.10",
"status": "affected",
"version": "2.1.6",
"versionType": "semver"
},
{
"lessThan": "3.13.9",
"status": "affected",
"version": "3.13.0",
"versionType": "semver"
},
{
"lessThan": "3.14.3",
"status": "affected",
"version": "3.14.0",
"versionType": "semver"
}
]
}
],
"source": "cve-coordination@google.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Uncontrolled Resource Consumption (CWE-400 / CWE-1333) in regex search query predicates (such as RegexProjectPredicate, RegexRefPredicate, RegexPathPredicate, and sibling predicates) and REST regex filter endpoints (RegexListSearcher /projects/?r= and RefFilter /projects/{project}/branches/?r=) in Gerrit Code Review versions 2.1.6 through 3.12.9, 3.13.0 through 3.13.8, and 3.14.0 through 3.14.2 allows an unauthenticated remote attacker (or an authenticated user if anonymous read access is disabled) to cause a denial of service (CPU starvation and JVM heap exhaustion / OutOfMemoryError) via crafted search queries or REST API requests containing regular expressions with large counted repetitions or exponential DFA determinization patterns. Because the user-supplied regular expression is compiled into an unbounded dk.brics.automaton instance (new RegExp(re).toAutomaton()) on the request thread prior to index evaluation or access control visibility filtering, trivial queries can exhaust JVM heap or pin request threads regardless of heap size. This issue is fixed in Gerrit Code Review versions 3.12.10, 3.13.9, and 3.14.3."
}
],
"id": "CVE-2026-87722",
"lastModified": "2026-09-24T22:17:02.480",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "HIGH",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "cve-coordination@google.com",
"type": "Secondary"
}
]
},
"published": "2026-09-24T22:17:02.480",
"references": [
{
"source": "cve-coordination@google.com",
"url": "https://issues.gerritcodereview.com/issues/540877705"
}
],
"sourceIdentifier": "cve-coordination@google.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-400"
},
{
"lang": "en",
"value": "CWE-1333"
}
],
"source": "cve-coordination@google.com",
"type": "Secondary"
}
]
}
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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.
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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