CVE-2026-34884 (GCVE-0-2026-34884)
Vulnerability from cvelistv5 – Published: 2026-08-18 07:26 – Updated: 2026-08-18 08:14
VLAI
EPSS
VEX
Title
Apache SkyWalking MCP: SSRF via set_skywalking_url Tool and GraphQL Expression Injection in MCP Server
Summary
SSRF via set_skywalking_url Tool and GraphQL expression injection vulnerability in Apache SkyWalking MCP.
This issue affects Apache SkyWalking MCP: 0.1.0.
Users are recommended to upgrade to version 0.2.0, which fixes this issue.
Severity
No CVSS data available.
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
2 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache SkyWalking MCP |
Affected:
0.1.0
(semver)
|
guessed |
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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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