CVE-2026-86173 (GCVE-0-2026-86173)
Vulnerability from cvelistv5 – Published: 2026-09-05 11:01 – Updated: 2026-09-05 11:01
VLAI
EPSS
VEX
Title
MindsDB through 26.1.0 Unauthenticated SSRF via Web Crawler
Summary
MindsDB through 26.1.0 contains a server-side request forgery vulnerability in the web crawler handler that allows unauthenticated attackers to fetch arbitrary URLs by supplying caller-controlled URLs to CrawlerTable.list. Attackers can bypass the allowlist control by exploiting the default empty configuration and access internal services and cloud metadata endpoints without authentication.
Severity
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/mindsdb/mindshub/issues/12480 | issue-tracking |
| https://github.com/mindsdb/mindshub/blob/v26.1.0/… | technical-description |
| https://github.com/mindsdb/mindshub/blob/v26.1.0/… | technical-description |
| https://github.com/mindsdb/mindshub | product |
| https://www.vulncheck.com/advisories/mindsdb-thro… | third-party-advisory |
Impacted products
Date Public
2026-07-19 00:00
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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.
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.
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