CVE-2025-30177 (GCVE-0-2025-30177)
Vulnerability from cvelistv5 – Published: 2025-04-01 11:56 – Updated: 2025-04-01 18:42
VLAI
EPSS
VEX
Title
Apache Camel: Camel-Undertow Message Header Injection via Improper Filtering
Summary
Bypass/Injection vulnerability in Apache Camel in Camel-Undertow component under particular conditions.
This issue affects Apache Camel: from 4.10.0 before 4.10.3, from 4.8.0 before 4.8.6.
Users are recommended to upgrade to version 4.10.3 for 4.10.x LTS and 4.8.6 for 4.8.x LTS.
Camel undertow component is vulnerable to Camel message header injection, in particular the custom header filter strategy used by the component only filter the "out" direction, while it doesn't filter the "in" direction.
This allows an attacker to include Camel specific headers that for some Camel components can alter the behaviour such as the camel-bean component, or the camel-exec component.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-01 18:40 UTC
CWE
- Bypass/Injection
- CWE-164 - Improper Neutralization of Internal Special Elements
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://camel.apache.org/security/CVE-2025-27636.html | related |
| https://camel.apache.org/security/CVE-2025-29891.html | related |
| https://lists.apache.org/thread/dj79zdgw01j337lr9… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache Camel |
Affected:
4.10.0 , < 4.10.3
(semver)
Affected: 4.8.0 , < 4.8.6 (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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