CVSS Meta Temp Score
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.6$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Zomplog 3.9. This impacts an unknown function. Performing a manipulation results in code injection. This vulnerability was named CVE-2023-53888. The attack may be initiated remotely. In addition, an exploit is available.

Detailsinfo

A vulnerability was found in Zomplog 3.9. It has been classified as critical. This affects an unknown code. The manipulation with an unknown input leads to a code injection vulnerability. CWE is classifying the issue as CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Zomplog 3.9 contains a remote code execution vulnerability that allows authenticated attackers to inject and execute arbitrary PHP code through file manipulation endpoints. Attackers can upload files (such as JavaScript) and rename them to .php via the saveE and rename actions, then execute the resulting PHP payload to run system commands.

The weakness was presented by Mirabbas Ağalarov as 51624. It is possible to read the advisory at exploit-db.com. This vulnerability is uniquely identified as CVE-2023-53888 since 12/15/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. Additional levels of successful authentication are necessary for exploitation. Technical details are unknown but a public exploit is available. The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.

The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-203421). Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 6.7
VulDB Meta Temp Score: 6.6

VulDB Base Score: 4.7
VulDB Temp Score: 4.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Code injection
CWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

12/15/2025 Advisory disclosed
12/15/2025 +0 days CVE reserved
12/15/2025 +0 days VulDB entry created
05/27/2026 +162 days VulDB entry last update

Sourcesinfo

Advisory: 51624
Researcher: Mirabbas Ağalarov
Status: Not defined

CVE: CVE-2023-53888 (🔒)
GCVE (CVE): GCVE-0-2023-53888
GCVE (VulDB): GCVE-100-336543
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 12/15/2025 22:12
Updated: 05/27/2026 00:29
Changes: 12/15/2025 22:12 (68), 12/24/2025 20:14 (11), 12/24/2025 21:02 (1), 05/27/2026 00:29 (2)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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