CVE-2025-55183 (GCVE-0-2025-55183)
Vulnerability from cvelistv5 – Published: 2025-12-11 20:04 – Updated: 2026-01-07 16:26
VLAI
EPSS
VEX
Summary
An information leak vulnerability exists in specific configurations of React Server Components versions 19.0.0, 19.0.1 19.1.0, 19.1.1, 19.1.2, 19.2.0 and 19.2.1, including the following packages: react-server-dom-parcel, react-server-dom-turbopack, and react-server-dom-webpack. A specifically crafted HTTP request sent to a vulnerable Server Function may unsafely return the source code of any Server Function. Exploitation requires the existence of a Server Function which explicitly or implicitly exposes a stringified argument.
Severity
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-07 16:24 UTC
CWE
- (CWE-502) Deserialization of Untrusted Data. (CWE-497) Exposure of Sensitive System Information to an Unauthorized Actor
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.facebook.com/security/advisories/cve-… | x_refsource_CONFIRM |
| https://react.dev/blog/2025/12/11/denial-of-servi… | x_refsource_CONFIRM |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Meta | react-server-dom-webpack |
Affected:
19.0.0 , ≤ 19.0.1
(semver)
Affected: 19.1.0 , ≤ 19.1.2 (semver) Affected: 19.2.0 , ≤ 19.2.1 (semver) |
guessed | |
| Meta | react-server-dom-turbopack |
Affected:
19.0.0 , ≤ 19.0.1
(semver)
Affected: 19.1.0 , ≤ 19.1.2 (semver) Affected: 19.2.0 , ≤ 19.2.1 (semver) |
guessed | |
| Meta | react-server-dom-parcel |
Affected:
19.0.0 , ≤ 19.0.1
(semver)
Affected: 19.1.0 , ≤ 19.1.2 (semver) Affected: 19.2.0 , ≤ 19.2.1 (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
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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