Is CVE-2024-33155 actively exploited?

No active exploitation of CVE-2024-33155 has been confirmed so far. Continue monitoring, as exploit status can change.

Can CVE-2024-33155 be exploited remotely?

Yes. CVE-2024-33155 is exploitable remotely over the network (CVSS attack vector: Network).

What is the CVSS score of CVE-2024-33155?

CVE-2024-33155 has a CVSS score of 9.8 (CRITICAL).

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CRITICAL

CVE-2024-33155

CWE-89Published: May 7, 2024· Updated: Jun 17, 2026

9.8

CVSS v3.1

Official Description

J2EEFAST v2.7.0 was discovered to contain a SQL injection vulnerability via the sql_filter parameter in the getDeptList() function.

NVD Source

Risk Analysis

J2EEFAST version 2.7.0 contains a SQL injection vulnerability in the sql_filter parameter of the getDeptList function. This allows remote attackers to execute arbitrary SQL queries without authentication. The 9.8 CVSS score indicates a critical threat to data security.

No public exploit is known, and the issue is not in CISA KEV. The vulnerability is remotely exploitable with low complexity.

Recommended Action

Apply the latest security updates for J2EEFAST to fix the SQL injection vulnerability.

Generated by the CTIWATCH analysis pipeline from this CVE's metadata (CVSS, EPSS, KEV status, exploit intelligence). Verify against vendor advisories before acting.

Technical Analysis

CVE-2024-33155 can be exploited remotely over the network without requiring physical or adjacent access, significantly expanding the attack surface for threat actors.

The vulnerability requires no privileges and no user interaction, making it a prime target for automated exploitation campaigns and worm-like propagation.

A successful exploit results in complete confidentiality breach (data exposure), full integrity compromise (data manipulation), availability disruption (denial of service), with a CVSS base score of 9.8.

From a weakness classification perspective (CWE-89): SQL injection vulnerabilities allow attackers to manipulate database queries, potentially exposing or modifying sensitive data.