CVE-2026-19984 (GCVE-0-2026-19984)
Vulnerability from cvelistv5 – Published: 2026-08-17 04:45 – Updated: 2026-08-18 13:37
VLAI
EPSS
VEX
Title
jkawamoto mcp-florence2 __init__.py get_images server-side request forgery
Summary
A flaw has been found in jkawamoto mcp-florence2 up to 0.3.13. Affected by this issue is the function get_images of the file src/mcp_florence2/__init__.py. This manipulation of the argument src causes server-side request forgery. The attack may be initiated remotely. The exploit has been published and may be used. It is recommended to change the configuration settings. The vendor explains: "For deployments where SSRF protection is required, I recommend routing all HTTP(S) requests through an SSRF-safe proxy server. This approach mitigates the vulnerability without requiring changes to the mcp-florence2 source code."
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-18 13:24 UTC
CWE
- CWE-918 - Server-Side Request Forgery
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/391184 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/391184/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-19984 | third-party-advisory |
| https://vuldb.com/submit/873920 | third-party-advisory |
| https://github.com/jkawamoto/mcp-florence2/issues/59 | exploitissue-tracking |
| https://github.com/jkawamoto/mcp-florence2/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| jkawamoto | mcp-florence2 |
Affected:
0.3.0
Affected: 0.3.1 Affected: 0.3.2 Affected: 0.3.3 Affected: 0.3.4 Affected: 0.3.5 Affected: 0.3.6 Affected: 0.3.7 Affected: 0.3.8 Affected: 0.3.9 Affected: 0.3.10 Affected: 0.3.11 Affected: 0.3.12 Affected: 0.3.13 cpe:2.3:a:jkawamoto:mcp-florence2:*:*:*:*:*:*:*:* |
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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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