CVE-2023-26031 : Detail

CVE-2023-26031

7.5
/
High
A08-Soft and Data Integrity Fail
0.07%V3
Network
2023-11-16
08h15 +00:00
2025-02-13
16h44 +00:00
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CVE Descriptions

Privilege escalation in Apache Hadoop Yarn container-executor binary on Linux systems

Relative library resolution in linux container-executor binary in Apache Hadoop 3.3.1-3.3.4 on Linux allows local user to gain root privileges. If the YARN cluster is accepting work from remote (authenticated) users, this MAY permit remote users to gain root privileges. Hadoop 3.3.0 updated the " YARN Secure Containers https://hadoop.apache.org/docs/stable/hadoop-yarn/hadoop-yarn-site/SecureContainer.html " to add a feature for executing user-submitted applications in isolated linux containers. The native binary HADOOP_HOME/bin/container-executor is used to launch these containers; it must be owned by root and have the suid bit set in order for the YARN processes to run the containers as the specific users submitting the jobs. The patch " YARN-10495 https://issues.apache.org/jira/browse/YARN-10495 . make the rpath of container-executor configurable" modified the library loading path for loading .so files from "$ORIGIN/" to ""$ORIGIN/:../lib/native/". This is the a path through which libcrypto.so is located. Thus it is is possible for a user with reduced privileges to install a malicious libcrypto library into a path to which they have write access, invoke the container-executor command, and have their modified library executed as root. If the YARN cluster is accepting work from remote (authenticated) users, and these users' submitted job are executed in the physical host, rather than a container, then the CVE permits remote users to gain root privileges. The fix for the vulnerability is to revert the change, which is done in YARN-11441 https://issues.apache.org/jira/browse/YARN-11441 , "Revert YARN-10495". This patch is in hadoop-3.3.5. To determine whether a version of container-executor is vulnerable, use the readelf command. If the RUNPATH or RPATH value contains the relative path "./lib/native/" then it is at risk $ readelf -d container-executor|grep 'RUNPATH\|RPATH' 0x000000000000001d (RUNPATH)           Library runpath: [$ORIGIN/:../lib/native/] If it does not, then it is safe: $ readelf -d container-executor|grep 'RUNPATH\|RPATH' 0x000000000000001d (RUNPATH)           Library runpath: [$ORIGIN/] For an at-risk version of container-executor to enable privilege escalation, the owner must be root and the suid bit must be set $ ls -laF /opt/hadoop/bin/container-executor ---Sr-s---. 1 root hadoop 802968 May 9 20:21 /opt/hadoop/bin/container-executor A safe installation lacks the suid bit; ideally is also not owned by root. $ ls -laF /opt/hadoop/bin/container-executor -rwxr-xr-x. 1 yarn hadoop 802968 May 9 20:21 /opt/hadoop/bin/container-executor This configuration does not support Yarn Secure Containers, but all other hadoop services, including YARN job execution outside secure containers continue to work.

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-426 Untrusted Search Path
The product searches for critical resources using an externally-supplied search path that can point to resources that are not under the product's direct control.

Metrics

Metrics Score Severity CVSS Vector Source
V3.1 7.5 HIGH CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H

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.

Low

The attacker requires privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges has the ability to access only non-sensitive resources.

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.

High

There is a total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server.

Integrity Impact

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

High

There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the impacted component. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence to the impacted component.

Availability Impact

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

High

There is a total loss of availability, resulting in the attacker being able to fully deny access to resources in the impacted component; this loss is either sustained (while the attacker continues to deliver the attack) or persistent (the condition persists even after the attack has completed). Alternatively, the attacker has the ability to deny some availability, but the loss of availability presents a direct, serious consequence to the impacted component (e.g., the attacker cannot disrupt existing connections, but can prevent new connections; the attacker can repeatedly exploit a vulnerability that, in each instance of a successful attack, leaks a only small amount of memory, but after repeated exploitation causes a service to become completely unavailable).

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 is a scoring model that predicts the likelihood of a vulnerability being exploited.

EPSS Score

The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.

EPSS Percentile

The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.

Products Mentioned

Configuraton 0

Apache>>Hadoop >> Version From (including) 3.3.1 To (including) 3.3.4

References