CVE-2025-29891 : Détail

CVE-2025-29891

4.8
/
Moyen
0.04%V3
Network
2025-03-12
14h42 +00:00
2025-03-19
13h10 +00:00
CVE.org
NVD
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Descriptions du CVE

Apache Camel: Camel Message Header Injection through request parameters

Bypass/Injection vulnerability in Apache Camel. This issue affects Apache Camel: from 4.10.0 before 4.10.2, from 4.8.0 before 4.8.5, from 3.10.0 before 3.22.4. Users are recommended to upgrade to version 4.10.2 for 4.10.x LTS, 4.8.5 for 4.8.x LTS and 3.22.4 for 3.x releases. This vulnerability is present in Camel's default incoming header filter, that allows an attacker to include Camel specific headers that for some Camel components can alter the behaviours such as the camel-bean component, or the camel-exec component. If you have Camel applications that are directly connected to the internet via HTTP, then an attacker could include parameters in the HTTP requests that are sent to the Camel application that get translated into headers.  The headers could be both provided as request parameters for an HTTP methods invocation or as part of the payload of the HTTP methods invocation. All the known Camel HTTP component such as camel-servlet, camel-jetty, camel-undertow, camel-platform-http, and camel-netty-http would be vulnerable out of the box. This CVE is related to the CVE-2025-27636: while they have the same root cause and are fixed with the same fix, CVE-2025-27636 was assumed to only be exploitable if an attacker could add malicious HTTP headers, while we have now determined that it is also exploitable via HTTP parameters. Like in CVE-2025-27636, exploitation is only possible if the Camel route uses particular vulnerable components.

Informations du CVE

Faiblesses connexes

CWE-ID Nom de la faiblesse Source
CWE-164 Improper Neutralization of Internal Special Elements
The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes internal special elements that could be interpreted in unexpected ways when they are sent to a downstream component.

Métriques

Métriques Score Gravité CVSS Vecteur Source
V3.1 4.8 MEDIUM CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:L

Base: Exploitabilty Metrics

The Exploitability metrics reflect the characteristics of the thing that is vulnerable, which we refer to formally as the vulnerable component.

Attack Vector

This metric reflects the context by which vulnerability exploitation is possible.

Network

The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).

Attack Complexity

This metric describes the conditions beyond the attacker’s control that must exist in order to exploit the vulnerability.

High

successful attack depends on conditions beyond the attacker's control. That is, a successful attack cannot be accomplished at will, but requires the attacker to invest in some measurable amount of effort in preparation or execution against the vulnerable component before a successful attack can be expected.

Privileges Required

This metric describes the level of privileges an attacker must possess before successfully exploiting the vulnerability.

None

The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.

User Interaction

This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable component.

None

The vulnerable system can be exploited without interaction from any user.

Base: Scope Metrics

The Scope metric captures whether a vulnerability in one vulnerable component impacts resources in components beyond its security scope.

Scope

Formally, a security authority is a mechanism (e.g., an application, an operating system, firmware, a sandbox environment) that defines and enforces access control in terms of how certain subjects/actors (e.g., human users, processes) can access certain restricted objects/resources (e.g., files, CPU, memory) in a controlled manner. All the subjects and objects under the jurisdiction of a single security authority are considered to be under one security scope. If a vulnerability in a vulnerable component can affect a component which is in a different security scope than the vulnerable component, a Scope change occurs. Intuitively, whenever the impact of a vulnerability breaches a security/trust boundary and impacts components outside the security scope in which vulnerable component resides, a Scope change occurs.

Unchanged

An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.

Base: Impact Metrics

The Impact metrics capture the effects of a successfully exploited vulnerability on the component that suffers the worst outcome that is most directly and predictably associated with the attack. Analysts should constrain impacts to a reasonable, final outcome which they are confident an attacker is able to achieve.

Confidentiality Impact

This metric measures the impact to the confidentiality of the information resources managed by a software component due to a successfully exploited vulnerability.

None

There is no loss of confidentiality within the impacted component.

Integrity Impact

This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information.

Low

Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact on the impacted component.

Availability Impact

This metric measures the impact to the availability of the impacted component resulting from a successfully exploited vulnerability.

Low

Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the impacted component are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the impacted component.

Temporal Metrics

The Temporal metrics measure the current state of exploit techniques or code availability, the existence of any patches or workarounds, or the confidence in the description of a vulnerability.

Environmental Metrics

These metrics enable the analyst to customize the CVSS score depending on the importance of the affected IT asset to a user’s organization, measured in terms of Confidentiality, Integrity, and Availability.

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EPSS

EPSS est un modèle de notation qui prédit la probabilité qu'une vulnérabilité soit exploitée.

Score EPSS

Le modèle EPSS produit un score de probabilité compris entre 0 et 1 (0 et 100 %). Plus la note est élevée, plus la probabilité qu'une vulnérabilité soit exploitée est grande.

Percentile EPSS

Le percentile est utilisé pour classer les CVE en fonction de leur score EPSS. Par exemple, une CVE dans le 95e percentile selon son score EPSS est plus susceptible d'être exploitée que 95 % des autres CVE. Ainsi, le percentile sert à comparer le score EPSS d'une CVE par rapport à d'autres CVE.
EPSS First.org

Products Mentioned

Configuraton 0

Apache>>Camel >> Version From (including) 3.10.0 To (excluding) 3.22.4

Apache>>Camel >> Version From (including) 4.8.0 To (excluding) 4.8.5

Apache>>Camel >> Version From (including) 4.10.0 To (excluding) 4.10.2

Références