CVE-2026-17434 (GCVE-0-2026-17434)
Vulnerability from cvelistv5 – Published: 2026-07-26 03:00 – Updated: 2026-07-27 14:37 X_Open Source
VLAI
EPSS
VEX
Title
nanocoai NanoClaw add_mcp_server request.ts handleAddMcpServer improper authorization
Summary
A flaw has been found in nanocoai NanoClaw up to 2.0.64. Affected is the function handleAddMcpServer of the file src/modules/self-mod/request.ts of the component add_mcp_server. Executing a manipulation can lead to improper authorization. The attack may be launched remotely. The exploit has been published and may be used. This patch is called e5b928783d5c485637565eb07d2967922dfbf8d8. A patch should be applied to remediate this issue.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-27 14:37 UTC
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/383075 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/383075/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-17434 | third-party-advisory |
| https://vuldb.com/submit/862451 | third-party-advisory |
| https://github.com/nanocoai/nanoclaw/issues/2762 | exploitissue-tracking |
| https://github.com/nanocoai/nanoclaw/pull/2998 | issue-trackingpatch |
| https://github.com/nanocoai/nanoclaw/commit/e5b92… | patch |
| https://github.com/nanocoai/nanoclaw/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| nanocoai | NanoClaw |
Affected:
2.0.0
Affected: 2.0.1 Affected: 2.0.2 Affected: 2.0.3 Affected: 2.0.4 Affected: 2.0.5 Affected: 2.0.6 Affected: 2.0.7 Affected: 2.0.8 Affected: 2.0.9 Affected: 2.0.10 Affected: 2.0.11 Affected: 2.0.12 Affected: 2.0.13 Affected: 2.0.14 Affected: 2.0.15 Affected: 2.0.16 Affected: 2.0.17 Affected: 2.0.18 Affected: 2.0.19 Affected: 2.0.20 Affected: 2.0.21 Affected: 2.0.22 Affected: 2.0.23 Affected: 2.0.24 Affected: 2.0.25 Affected: 2.0.26 Affected: 2.0.27 Affected: 2.0.28 Affected: 2.0.29 Affected: 2.0.30 Affected: 2.0.31 Affected: 2.0.32 Affected: 2.0.33 Affected: 2.0.34 Affected: 2.0.35 Affected: 2.0.36 Affected: 2.0.37 Affected: 2.0.38 Affected: 2.0.39 Affected: 2.0.40 Affected: 2.0.41 Affected: 2.0.42 Affected: 2.0.43 Affected: 2.0.44 Affected: 2.0.45 Affected: 2.0.46 Affected: 2.0.47 Affected: 2.0.48 Affected: 2.0.49 Affected: 2.0.50 Affected: 2.0.51 Affected: 2.0.52 Affected: 2.0.53 Affected: 2.0.54 Affected: 2.0.55 Affected: 2.0.56 Affected: 2.0.57 Affected: 2.0.58 Affected: 2.0.59 Affected: 2.0.60 Affected: 2.0.61 Affected: 2.0.62 Affected: 2.0.63 Affected: 2.0.64 cpe:2.3:a:nanocoai:nanoclaw:*:*:*:*:*:*:*:* |
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"vulnAvailabilityImpact": "LOW",
"vulnConfidentialityImpact": "LOW",
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"vulnerabilityResponseEffort": "NOT_DEFINED"
},
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"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-17434",
"options": [
{
"exploitation": "poc"
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{
"automatable": "no"
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],
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"timestamp": "2026-07-27T14:37:14.393084Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-07-26T04:16:46.573",
"references": [
{
"source": "cna@vuldb.com",
"url": "https://github.com/nanocoai/nanoclaw/"
},
{
"source": "cna@vuldb.com",
"url": "https://github.com/nanocoai/nanoclaw/commit/e5b928783d5c485637565eb07d2967922dfbf8d8"
},
{
"source": "cna@vuldb.com",
"url": "https://github.com/nanocoai/nanoclaw/issues/2762"
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{
"source": "cna@vuldb.com",
"url": "https://github.com/nanocoai/nanoclaw/pull/2998"
},
{
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"url": "https://vuldb.com/cve/CVE-2026-17434"
},
{
"source": "cna@vuldb.com",
"url": "https://vuldb.com/submit/862451"
},
{
"source": "cna@vuldb.com",
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},
{
"source": "cna@vuldb.com",
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},
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{
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},
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{
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},
{
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},
{
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{
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},
{
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},
{
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},
{
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},
{
"status": "affected",
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},
{
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{
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{
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},
{
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],
"credits": [
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"type": "reporter",
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],
"descriptions": [
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}
],
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},
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}
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]
},
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"description": "Incorrect Privilege Assignment",
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},
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}
}
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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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