CVE-2026-95930 (GCVE-0-2026-95930)
Vulnerability from cvelistv5 – Published: 2026-09-23 02:15 – Updated: 2026-09-23 14:54 X_Open Source
VLAI
EPSS
VEX
Title
iFlytek astron-agent debugToolV2 API endpoint UrlCheckTool.checkUrl server-side request forgery
Summary
A security vulnerability has been detected in iFlytek astron-agent up to 1.0.6. Affected by this vulnerability is the function UrlCheckTool.checkUrl of the component debugToolV2 API endpoint. The manipulation of the argument endPoint leads to server-side request forgery. The attack can be initiated remotely. Upgrading to version reward-1575 addresses this issue. The identifier of the patch is 45ee5fb647e9894e73b0d7720fa94a66e4540bbb. The affected component should be upgraded.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-23 14:53 UTC
CWE
- CWE-918 - Server-Side Request Forgery
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/408552 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/408552/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-95930 | third-party-advisory |
| https://vuldb.com/submit/953331 | third-party-advisory |
| https://github.com/iflytek/astron-agent/issues/1323 | issue-tracking |
| https://github.com/iflytek/astron-agent/pull/1338 | issue-trackingpatch |
| https://github.com/iflytek/astron-agent/commit/45… | patch |
| https://github.com/iflytek/astron-agent/releases/… | patch |
| https://github.com/iflytek/astron-agent/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| iFlytek | astron-agent |
Affected:
1.0.0
Affected: 1.0.1 Affected: 1.0.2 Affected: 1.0.3 Affected: 1.0.4 Affected: 1.0.5 Affected: 1.0.6 Unaffected: reward-1575 cpe:2.3:a:iflytek:astron-agent:*:*:*:*:*:*:*:* |
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"dateReserved": "2026-09-22T17:23:02.218Z",
"dateUpdated": "2026-09-23T14:54:28.870Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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