CVE-2026-63373 (GCVE-0-2026-63373)
Vulnerability from cvelistv5 – Published: 2026-09-21 16:29 – Updated: 2026-09-21 18:02
VLAI
EPSS
VEX
Title
draw.io: OAuth CSRF via missing state validation on self-hosted deployments allows session token injection
Summary
draw.io is a configurable diagramming and whiteboarding application. Prior to version 30.2.7, the OAuth callback handler in src/main/java/com/mxgraph/online/AbsAuth.java skips comparison of stateToken and cookieToken whenever IS_GAE is false, which affects self-hosted Docker and WAR deployments. An attacker can provide an authorization code for the attacker's cloud-storage identity and induce a victim to visit a callback URL, causing the victim's draw.io session to become authenticated as the attacker identity without a valid state binding. The shared handler affects Google Drive, OneDrive, GitHub, GitLab, and Dropbox integrations. The victim can then unknowingly perform cloud-storage actions under the attacker's identity, causing session integrity loss and misattribution, but the identity binding does not itself grant access to existing victim cloud files. This issue is fixed in version 30.2.7.
Severity
4.2 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-21 18:01 UTC
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/jgraph/drawio/security/advisor… | x_refsource_CONFIRM |
| https://github.com/jgraph/drawio/commit/650fbd742… | x_refsource_MISC |
| https://github.com/jgraph/drawio/releases/tag/v30.2.7 | x_refsource_MISC |
Impacted products
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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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