ZhongBangKeJi CRMEB 4.4.4 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 was found in ZhongBangKeJi CRMEB 4.4.4. It has been rated as problematic. The impacted element is an unknown function. Performing a manipulation results in information disclosure. This vulnerability is reported as CVE-2022-44343. No exploit exists.

Detailsinfo

A vulnerability was found in ZhongBangKeJi CRMEB 4.4.4. It has been classified as problematic. This affects an unknown function. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:

CRMEB 4.4.4 is vulnerable to Any File download.

The weakness was disclosed 02/06/2023. It is possible to read the advisory at gist.github.com. This vulnerability is uniquely identified as CVE-2022-44343 since 10/30/2022. 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

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

10/30/2022 🔍
02/06/2023 +99 days 🔍
02/06/2023 +0 days 🔍
03/05/2023 +27 days 🔍

Sourcesinfo

Advisory: gist.github.com
Status: Not defined

CVE: CVE-2022-44343 (🔍)
GCVE (CVE): GCVE-0-2022-44343
GCVE (VulDB): GCVE-100-220227

Entryinfo

Created: 02/06/2023 15:46
Updated: 03/05/2023 10:46
Changes: 02/06/2023 15:46 (37), 03/05/2023 10:46 (11)
Complete: 🔍
Cache ID: 216::103

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

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