FKIE_CVE-2026-85220
Vulnerability from fkie_nvd - Published: 2026-09-21 14:17 - Updated: 2026-09-22 19:41
Severity
Summary
A vulnerability in the Thinkst Canary honeypot Redis service allows an unauthenticated remote attacker to execute a Denial-of-Service attack against the honeypot.
The vulnerability is accessible when the Redis service is enabled only.
The Canary is NOT affected if the Redis service is disabled.
Thinkst has addressed this issue on all supported platforms.
New update files to address this issue are available on all platforms except Docker. For Docker customers, a new Docker image has been published which includes the patch. Customers with automatic updates enabled already have updates in distribution. If automatic updates are disabled, customers are advised to update their Canaries.
Workarounds are available for customers unable to update at this time.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Canary",
"vendor": "Thinkst Applied Research",
"versions": [
{
"status": "unaffected",
"version": "5.1.2",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "5.2.2",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "5.3.2",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "5.4.2",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "5.5.2",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "5.6.4",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "5.7.2",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "5.8.2",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "5.9.2",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "5.10.2",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "5.11.2",
"versionType": "custom"
}
]
}
],
"source": "0f2be0ad-3469-4e56-b38f-4eb96719b425"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A vulnerability in the Thinkst Canary honeypot Redis service allows an unauthenticated remote attacker to execute a Denial-of-Service attack against the honeypot.\n\nThe vulnerability is accessible when the Redis service is enabled only.\n\nThe Canary is NOT affected if the Redis service is disabled.\n\nThinkst has addressed this issue on all supported platforms.\n\nNew update files to address this issue are available on all platforms except Docker. For Docker customers, a new Docker image has been published which includes the patch. Customers with automatic updates enabled already have updates in distribution. If automatic updates are disabled, customers are advised to update their Canaries.\n\nWorkarounds are available for customers unable to update at this time."
}
],
"id": "CVE-2026-85220",
"lastModified": "2026-09-22T19:41:38.447",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 3.7,
"baseSeverity": "LOW",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 1.4,
"source": "0f2be0ad-3469-4e56-b38f-4eb96719b425",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-85220",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-21T14:36:45.444422Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-21T14:17:22.007",
"references": [
{
"source": "0f2be0ad-3469-4e56-b38f-4eb96719b425",
"url": "https://canary.tools/security-advisories/tc-2026-01.txt"
}
],
"sourceIdentifier": "0f2be0ad-3469-4e56-b38f-4eb96719b425",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-770"
}
],
"source": "0f2be0ad-3469-4e56-b38f-4eb96719b425",
"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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