CVE-2026-66415 (GCVE-0-2026-66415)
Vulnerability from cvelistv5 – Published: 2026-07-30 16:49 – Updated: 2026-09-24 14:18
VLAI
EPSS
VEX
Title
Leantime Server-Side Request Forgery and Local File Inclusion in Blueprints::import()
Summary
Leantime 3.6.2 contains a server-side request forgery and local file inclusion vulnerability that allows authenticated attackers to read internal resources by passing unsanitized user-supplied filenames to file_get_contents() in the Blueprints::import() method without path validation. Attackers can submit crafted filenames containing URL wrappers or path traversal sequences through the JSON-RPC API endpoint to access cloud metadata services or read arbitrary files from the server filesystem.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-30 17:31 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/Leantime/leantime/pull/3656 | issue-trackingpatch |
| https://github.com/javokhir-sec/CVE-PoC-Hub/secur… | vendor-advisory |
| https://github.com/Leantime/leantime | product |
| https://www.vulncheck.com/advisories/leantime-ser… | third-party-advisory |
Impacted products
Date Public
2026-07-30 00:00
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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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