CVE-2026-94220 (GCVE-0-2026-94220)
Vulnerability from cvelistv5 – Published: 2026-10-01 11:01 – Updated: 2026-10-01 14:51
VLAI
EPSS
VEX
Title
Apache APISIX: session fixation issue in feishu-auth and dingtalk-auth plugin
Summary
Cross-Site request forgery (CSRF) vulnerability in feishu-auth and dingtalk-auth plugins in Apache APISIX.
An attacker who can get a user to click a crafted link may cause that user's browser session on a protected route to be established under the attacker's identity instead of their own. Any work the user then performs in that session, including uploads, form submissions, and account bindings, lands in the attacker's account. This issue affects Apache APISIX: from 3.17.0 through 3.18.0.
Users are recommended to upgrade to version 3.19.0, which fixes the issue.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-01 14:51 UTC
CWE
- CWE-352 - Cross-Site request forgery (CSRF)
Assigner
References
2 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache APISIX |
Affected:
3.17.0 , ≤ 3.18.0
(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.
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
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