GTT Sistema de Información Tributario Active Directory Login authentication spoofing

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.3$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in GTT Sistema de Información Tributario. The impacted element is an unknown function of the component Active Directory Login. Performing a manipulation results in authentication spoofing. This vulnerability is known as CVE-2025-13953. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability, which was classified as critical, was found in GTT Sistema de Información Tributario (affected version unknown). This affects an unknown functionality of the component Active Directory Login. The manipulation with an unknown input leads to a authentication spoofing vulnerability. CWE is classifying the issue as CWE-290. This attack-focused weakness is caused by incorrectly implemented authentication schemes that are subject to spoofing attacks. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Bypass vulnerability in the authentication method in the GTT Tax Information System application, related to the Active Directory (LDAP) login method. Authentication is performed through a local WebSocket, but the web application does not properly validate the authenticity or origin of the data received, allowing an attacker with access to the local machine or internal network to impersonate the legitimate WebSocket and inject manipulated information. Exploiting this vulnerability could allow an attacker to authenticate as any user in the domain, without the need for valid credentials, compromising the confidentiality, integrity, and availability of the application and its data.

The weakness was published by Julian J. Menéndez. It is possible to read the advisory at incibe.es. This vulnerability is uniquely identified as CVE-2025-13953 since 12/03/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 12/10/2025).

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-2025-202412). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

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: 7.3
VulDB Meta Temp Score: 7.3

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Authentication spoofing
CWE: CWE-290 / CWE-287
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

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

12/03/2025 CVE reserved
12/10/2025 +7 days Advisory disclosed
12/10/2025 +0 days VulDB entry created
12/10/2025 +0 days VulDB entry last update

Sourcesinfo

Advisory: incibe.es
Researcher: Julian J. Menéndez
Status: Not defined

CVE: CVE-2025-13953 (🔒)
GCVE (CVE): GCVE-0-2025-13953
GCVE (VulDB): GCVE-100-335595
EUVD: 🔒

Entryinfo

Created: 12/10/2025 13:07
Updated: 12/10/2025 16:20
Changes: 12/10/2025 13:07 (65), 12/10/2025 16:20 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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