CVE-2026-97724 (GCVE-0-2026-97724)
Vulnerability from cvelistv5 – Published: 2026-09-25 02:09 – Updated: 2026-09-25 13:55
VLAI
EPSS
VEX
Summary
A prototype pollution vulnerability in Software Mansion React Native Worklets before 0.12.2 allows an attacker-controlled object containing a __proto__ property to modify the prototype of an object created during serialization in clonePlainJSObject in packages/react-native-worklets/src/memory/serializable.native.ts. When affected data is subsequently processed by React Native Worklets, the malformed serialized object can cause the React Native application to crash. This can result in a remotely triggered denial of service in applications that pass attacker-controlled data through the affected serialization path. In applications where the attacker-controlled data is persisted, the denial of service may persist across application restarts or repeated attempts to access the affected content.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-25 13:54 UTC
CWE
- CWE-1321 - Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution')
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| swmansion | React Native Reanimated |
Affected:
worklets-0.5.0 , < worklets-0.12.2
(custom)
cpe:2.3:a:swmansion:react_native_reanimated:*:*:*:*:*:*:*:* |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.