CVE-2026-61461 (GCVE-0-2026-61461)
Vulnerability from cvelistv5 – Published: 2026-07-10 18:10 – Updated: 2026-07-14 22:03 X_Open Source
VLAI
EPSS
VEX
Title
Dify < 1.16.0-rc1 SQL Injection via MyScale Vector Store search_by_full_text
Summary
Dify before 1.16.0-rc1 contains a SQL injection vulnerability in the MyScale vector store backend that allows attackers to execute arbitrary SQL by supplying unsanitized search parameters to the search_by_full_text method without escaping or parameterization. Attackers can inject malicious SQL through the search parameters to read, modify, or delete data in the underlying ClickHouse database.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-10 18:54 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/langgenius/dify/releases/tag/1… | release-notes |
| https://github.com/langgenius/dify/issues/38281 | technical-descriptionexploit |
| https://github.com/langgenius/dify/pull/38295 | issue-tracking |
| https://github.com/langgenius/dify/commit/d9884ef… | patch |
| https://www.vulncheck.com/advisories/dify-rc1-sql… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| langgenius | dify |
Affected:
0 , < 1.16.0-rc1
(semver)
cpe:2.3:a:langgenius:dify:*:*:*:*:*:node.js:*:* |
Date Public
2026-07-01 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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