CervantesSec Cervantes up to 1.3-beta authorization

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
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.
5.2$0-$5k3.50

Summaryinfo

A vulnerability identified as critical has been detected in CervantesSec Cervantes up to 1.3-beta. This vulnerability affects unknown code. Performing a manipulation results in authorization. This vulnerability is cataloged as CVE-2026-115998. It is possible to initiate the attack remotely. There is no exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as critical, was found in CervantesSec Cervantes up to 1.3-beta. This affects some unknown functionality. The manipulation with an unknown input leads to a authorization vulnerability. CWE is classifying the issue as CWE-639. The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

IDOR in Cervantes version v1.3-beta could allow an authenticated attacker ca access sensitive findings, proof-of-concept details, credentials, and client information from projects they do not belong to. Additionally, they can modify finding statuses and transfer findings to their own projects, compromising data confidentiality and integrity.

It is possible to read the advisory at grayback.es. This vulnerability is uniquely identified as CVE-2026-115998 since 10/24/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. The technical details are unknown and an exploit is not publicly available.

Upgrading to version .1.4.0-beta eliminates this vulnerability.

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

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.2

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 4.3
CNA Vector (Grayback): 🔒

CVSSv2info

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

Exploitinginfo

Class: Authorization
CWE: CWE-639 / CWE-285 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: Cervantes .1.4.0-beta

Timelineinfo

10/24/2026 Advisory disclosed
10/24/2026 +0 days CVE reserved
10/24/2026 +0 days VulDB entry created
10/24/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: grayback.es
Status: Confirmed

CVE: CVE-2026-115998 (🔒)
GCVE (CVE): GCVE-0-2026-115998
GCVE (VulDB): GCVE-100-426099

Entryinfo

Created: 10/24/2026 11:57
Changes: 10/24/2026 11:57 (62)
Complete: 🔍
Cache ID: 216::103

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

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