Is CVE-2023-48901 actively exploited?

No active exploitation of CVE-2023-48901 has been confirmed so far. Continue monitoring, as exploit status can change.

Can CVE-2023-48901 be exploited remotely?

Yes. CVE-2023-48901 is exploitable remotely over the network (CVSS attack vector: Network).

What is the CVSS score of CVE-2023-48901?

CVE-2023-48901 has a CVSS score of 9.8 (CRITICAL).

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CRITICAL

CVE-2023-48901

CWE-89Published: March 21, 2024· Updated: Jun 17, 2026

9.8

CVSS v3.1

Official Description

A SQL injection vulnerability in tramyardg Autoexpress version 1.3.0, allows remote unauthenticated attackers to execute arbitrary SQL commands via the parameter "id" within the getPhotosByCarId function call in details.php.

NVD Source

Risk Analysis

A SQL injection vulnerability exists in the tramyardg Autoexpress application, allowing unauthenticated remote attackers to execute arbitrary SQL commands. This critical flaw can lead to full database compromise.

There is no known public exploit, and it is not in the KEV catalog. The vulnerability is remotely exploitable with low complexity.

Recommended Action

Apply available patches for Autoexpress version 1.3.0. Implement input validation and parameterized queries to prevent SQL injection.

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-2023-48901 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.