CVE-2026-100600 (GCVE-0-2026-100600)
Vulnerability from cvelistv5 – Published: 2026-09-26 13:22 – Updated: 2026-09-26 13:22
VLAI
EPSS
VEX
Title
ClawHub before 8c2de6c506 Quota Exhaustion via Anonymous API
Summary
ClawHub (the openclaw/clawhub application/backend) does not bind anonymous HTTP API requests to a trusted caller identity, so all direct anonymous API requests share a single default quota allowance. A remote, unauthenticated caller can drain that shared allowance and thereby deny or degrade API access for unrelated visitors. In addition, when the TRUST_FORWARDED_IPS option is enabled without an authenticated edge/proxy, clients can supply arbitrary forwarded IP headers to select quota identities of their choosing and evade rate limiting. The issue was confirmed at revision cbfee7343ddc867316dd9b3de6fa8856730f9f41; the complete historical affected range was not established. It is fixed in revision 8c2de6c506bb4efabe3f0c2ffb8370b9e23d4650 (PR #3684), where direct anonymous calls are redirected to the public API origin without consuming quota and forged identity assertions return HTTP 401. The npm CLI and OpenClaw runtime are separate products and are not affected.
Severity
5.3 (Medium)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/openclaw/clawhub/security/advi… | vendor-advisory |
| https://github.com/openclaw/clawhub/commit/8c2de6… | patch |
| https://www.vulncheck.com/advisories/clawhub-befo… | third-party-advisory |
Impacted products
Date Public
2026-09-11 00:00
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}
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"title": "ClawHub before 8c2de6c506 Quota Exhaustion via Anonymous API",
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"datePublished": "2026-09-26T13:22:45.578Z",
"dateReserved": "2026-09-26T01:04:47.561Z",
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"state": "PUBLISHED"
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}
],
"id": "CVE-2026-100600",
"lastModified": "2026-09-28T20:53:43.443",
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"published": "2026-09-26T14:16:39.420",
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"url": "https://github.com/openclaw/clawhub/commit/8c2de6c506bb4efabe3f0c2ffb8370b9e23d4650"
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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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