What is the CVSS score of CVE-2024-2914?

CVE-2024-2914 has a CVSS 3.1 base score of 8.8 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H. EPSS exploitation probability: 0.9%.

Is there a public PoC exploit available for CVE-2024-2914?

Yes, a public proof-of-concept exploit is available for CVE-2024-2914. Prioritise patching immediately. EPSS: 0.9%.

Is there a patch available for CVE-2024-2914?

Yes, a patch is available for CVE-2024-2914. Update the affected software to the latest version immediately.

Deep Java Library CVE-2024-2914

HIGH

Path Traversal: '\\..\\filename' (CWE-29)

2024-06-06 security@huntr.dev

Privilege Escalation RCE Denial Of Service Deep Java Library

8.8

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

8.8 HIGH

AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

Required

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Jun 06, 2024 - 18:15 nvd

HIGH 8.8

DescriptionNVD

A TarSlip vulnerability exists in the deepjavalibrary/djl, affecting version 0.26.0 and fixed in version 0.27.0. This vulnerability allows an attacker to manipulate file paths within tar archives to overwrite arbitrary files on the target system. Exploitation of this vulnerability could lead to remote code execution, privilege escalation, data theft or manipulation, and denial of service. The vulnerability is due to improper validation of file paths during the extraction of tar files, as demonstrated in multiple occurrences within the library's codebase, including but not limited to the files_util.py and extract_imagenet.py scripts.

AnalysisAI

A TarSlip vulnerability exists in the deepjavalibrary/djl, affecting version 0.26.0 and fixed in version 0.27.0. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available.

Technical ContextAI

This vulnerability is classified under CWE-29. A TarSlip vulnerability exists in the deepjavalibrary/djl, affecting version 0.26.0 and fixed in version 0.27.0. This vulnerability allows an attacker to manipulate file paths within tar archives to overwrite arbitrary files on the target system. Exploitation of this vulnerability could lead to remote code execution, privilege escalation, data theft or manipulation, and denial of service. The vulnerability is due to improper validation of file paths during the extraction of tar files, as demonstrated in multiple occurrences within the library's codebase, including but not limited to the files_util.py and extract_imagenet.py scripts. Affected products include: Djl Deep Java Library. Version information: version 0.26.0.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.