Data Illusion NGSurvey up to 2.4.28 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.
5.4$0-$5k0.00

Summaryinfo

A vulnerability has been found in Data Illusion NGSurvey up to 2.4.28 and classified as problematic. This vulnerability affects unknown code. The manipulation leads to information disclosure. This vulnerability is documented as CVE-2022-46484. There is not any exploit available.

Detailsinfo

A vulnerability was found in Data Illusion NGSurvey up to 2.4.28 (Survey Software) and classified as problematic. This issue affects an unknown part. The manipulation with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:

Information disclosure in password protected surveys in Data Illusion Survey Software Solutions NGSurvey v2.4.28 and below allows attackers to view the password to access and arbitrarily submit surveys.

The weakness was released 08/02/2023. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2022-46484 since 12/05/2022. The technical details are unknown and an exploit is not publicly available. 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

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.5
VulDB Meta Temp Score: 5.4

VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

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

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

12/05/2022 🔍
08/02/2023 +239 days 🔍
08/02/2023 +0 days 🔍
08/24/2023 +22 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2022-46484 (🔍)
GCVE (CVE): GCVE-0-2022-46484
GCVE (VulDB): GCVE-100-235931

Entryinfo

Created: 08/02/2023 19:09
Updated: 08/24/2023 13:00
Changes: 08/02/2023 19:09 (38), 08/24/2023 13:00 (11)
Complete: 🔍
Cache ID: 216::103

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

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