Stashcat App up to 3.9.1 Server Log client_key/device_id information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Stashcat App up to 3.9.1 and classified as problematic. The affected element is an unknown function of the component Server Log. Performing a manipulation of the argument client_key/device_id as part of Query String results in information disclosure. This vulnerability was named CVE-2020-13129. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability classified as problematic has been found in Stashcat App up to 3.9.1. This affects an unknown part of the component Server Log. The manipulation of the argument client_key/device_id as part of a Query String 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:
An issue was discovered in the stashcat app through 3.9.1 for macOS, Windows, Android, iOS, and possibly other platforms. The GET method is used with client_key and device_id data in the query string, which allows attackers to obtain sensitive information by reading web-server logs.
The weakness was presented 05/18/2020. This vulnerability is uniquely identified as CVE-2020-13129 since 05/18/2020. It is possible to initiate the attack remotely. A authentication is necessary for exploitation. Technical details of the vulnerability are known, but there is no available exploit. 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.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.7VulDB Meta Temp Score: 5.7
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.2
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Information disclosureCWE: 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 Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
05/18/2020 🔍05/18/2020 🔍
05/19/2020 🔍
05/19/2020 🔍
Sources
Status: Not definedCVE: CVE-2020-13129 (🔍)
GCVE (CVE): GCVE-0-2020-13129
GCVE (VulDB): GCVE-100-155403
Entry
Created: 05/19/2020 08:06Updated: 05/19/2020 08:11
Changes: 05/19/2020 08:06 (37), 05/19/2020 08:11 (17)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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