CVE-2026-62295 (GCVE-0-2026-62295)
Vulnerability from cvelistv5 – Published: 2026-08-07 19:36 – Updated: 2026-08-13 18:38
VLAI
EPSS
VEX
Title
HAPI FHIR: JSON utility parser unbounded recursion causes StackOverflow denial of service
Summary
HAPI FHIR is a complete implementation of the HL7 FHIR standard for healthcare interoperability in Java. Prior to 6.9.11, the JSON utility parser in org.hl7.fhir.utilities.json.parser.JsonParser enforces no maximum nesting depth for arrays or objects. As a result, a small but deeply nested, syntactically valid FHIR JSON document can trigger unbounded readArray() or readObject() recursion, raising a StackOverflowError before structural validation runs. An attacker who can submit JSON resources for validation can thus crash the request thread, and services that do not isolate StackOverflowError safely may experience worker loss or process instability — a denial-of-service condition. This issue is fixed in version 6.9.11.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-13 18:38 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/hapifhir/org.hl7.fhir.core/sec… | x_refsource_CONFIRM |
| https://github.com/hapifhir/org.hl7.fhir.core/com… | x_refsource_MISC |
Impacted products
5 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| hapifhir | org.hl7.fhir.core |
Affected:
< 6.9.11
|
guessed | |
| hapifhir | ca.uhn.hapi.fhir:org.hl7.fhir.r5 |
Affected:
< 6.9.11
|
guessed | |
| hapifhir | ca.uhn.hapi.fhir:org.hl7.fhir.utilities |
Affected:
< 6.9.11
|
guessed | |
| hapifhir | ca.uhn.hapi.fhir:org.hl7.fhir.validation |
Affected:
< 6.9.11
|
guessed | |
| hapifhir | ca.uhn.hapi.fhir:org.hl7.fhir.validation.cli |
Affected:
< 6.9.11
|
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.
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.
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