MEGAFEIS/BOFEI DBD+ 1.4.4 on iOS/Android 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
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3.9$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in MEGAFEIS and BOFEI DBD+ 1.4.4 on iOS/Android. Impacted is an unknown function. The manipulation leads to information disclosure. This vulnerability is uniquely identified as CVE-2022-45634. No exploit exists.

Detailsinfo

A vulnerability was found in MEGAFEIS and BOFEI DBD+ 1.4.4 on iOS/Android and classified as problematic. This issue affects some unknown functionality. 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:

An issue discovered in MEGAFEIS, BOFEI DBD+ Application for IOS & Android v1.4.4 allows authenticated attacker to gain access to sensitive account information

The weakness was disclosed 03/22/2023. It is possible to read the advisory at labs.withsecure.com. The identification of this vulnerability is CVE-2022-45634 since 11/21/2022. 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

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.9
VulDB Meta Temp Score: 3.9

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

NVD Base Score: 4.3
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

11/21/2022 🔍
03/22/2023 +121 days 🔍
03/22/2023 +0 days 🔍
04/12/2023 +21 days 🔍

Sourcesinfo

Advisory: labs.withsecure.com
Status: Not defined

CVE: CVE-2022-45634 (🔍)
GCVE (CVE): GCVE-0-2022-45634
GCVE (VulDB): GCVE-100-223547
scip Labs: https://www.scip.ch/en/?labs.20130704

Entryinfo

Created: 03/22/2023 08:25
Updated: 04/12/2023 16:55
Changes: 03/22/2023 08:25 (37), 04/12/2023 16:55 (11)
Complete: 🔍
Cache ID: 216::103

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

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