CVE-2025-55179 (GCVE-0-2025-55179)
Vulnerability from cvelistv5 – Published: 2025-11-18 13:56 – Updated: 2025-11-18 14:25
VLAI
EPSS
VEX
Summary
Incomplete validation of rich response messages in WhatsApp for iOS prior to v2.25.23.73, WhatsApp Business for iOS v2.25.23.82, and WhatsApp for Mac v2.25.23.83 could have allowed a user to trigger processing of media content from an arbitrary URL on another user’s device. We have not seen evidence of exploitation in the wild.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-11-18 14:22 UTC
CWE
- Incorrect Authorization (CWE-863)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.facebook.com/security/advisories/cve-… | x_refsource_CONFIRM |
| https://www.whatsapp.com/security/advisories/2025/ | x_refsource_CONFIRM |
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| WhatsApp Business for iOS |
Affected:
2.25.8.14 , < 2.25.23.82
(semver)
|
||
| WhatsApp for iOS |
Affected:
2.25.8.17 , < 2.25.23.73
(semver)
|
||
| WhatsApp Desktop for Mac |
Affected:
2.25.8.14 , < 2.25.23.83
(semver)
|
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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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