NOMYSOFT Informatics Education and Consulting Nomysem up to 08072026 information disclosure

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 (≈)
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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.
5.3$0-$5k1.20+

Summaryinfo

A vulnerability identified as problematic has been detected in NOMYSOFT Informatics Education and Consulting Nomysem up to 08072026. This vulnerability affects unknown code. This manipulation causes information disclosure. The identification of this vulnerability is CVE-2026-6280. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in NOMYSOFT Informatics Education and Consulting Nomysem up to 08072026. It has been declared as problematic. Affected by this vulnerability is some unknown functionality. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:

Exposure of sensitive information due to incompatible policies vulnerability in NOMYSOFT Informatics Education and Consulting Inc. Nomysem allows Accessing Functionality Not Properly Constrained by ACLs. This issue affects Nomysem: through 08072026. NOTE: The vendor was contacted early about this disclosure but did not respond in any way.

It is possible to read the advisory at siberguvenlik.gov.tr. This vulnerability is known as CVE-2026-6280 since 04/14/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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 07/08/2026). The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

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

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: 5.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
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: Information disclosure
CWE: CWE-200 / CWE-284 / 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: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

04/14/2026 CVE reserved
07/08/2026 +85 days Advisory disclosed
07/08/2026 +0 days VulDB entry created
07/08/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: siberguvenlik.gov.tr
Status: Not defined

CVE: CVE-2026-6280 (🔒)
GCVE (CVE): GCVE-0-2026-6280
GCVE (VulDB): GCVE-100-376819

Entryinfo

Created: 07/08/2026 11:33
Changes: 07/08/2026 11:33 (51)
Complete: 🔍
Cache ID: 216::103

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

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