Boozt Fashion App up to 2.3.3 on Android Credentials 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, which was classified as critical, has been found in Boozt Fashion App up to 2.3.3 on Android. The impacted element is an unknown function. Performing a manipulation results in information disclosure (Credentials). This vulnerability is known as CVE-2017-11706. Remote exploitation of the attack is possible. No exploit is available. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability was found in Boozt Fashion App up to 2.3.3 on Android (Android App Software). It has been classified as problematic. This affects an unknown functionality. The manipulation with an unknown input leads to a information disclosure vulnerability (Credentials). 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:

The Boozt Fashion application before 2.3.4 for Android allows remote attackers to read login credentials by sniffing the network and leveraging the lack of SSL. NOTE: the vendor response, before the application was changed to enable SSL logins, was "At the moment that is an accepted risk. We only have https on the checkout part of the site."

The bug was discovered 07/27/2017. The weakness was published 07/28/2017 (Website). It is possible to read the advisory at hackerone.com. This vulnerability is uniquely identified as CVE-2017-11706 since 07/27/2017. The exploitability is told to be difficult. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. 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.

The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k.

Upgrading to version 2.3.4 eliminates this vulnerability.

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: 5.6
VulDB Meta Temp Score: 5.5

VulDB Base Score: 3.7
VulDB Temp Score: 3.6
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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💳💳💳💳💳💳
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Name: Credentials
Class: Information disclosure / Credentials
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: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Fashion App 2.3.4

Timelineinfo

07/27/2017 🔍
07/27/2017 +0 days 🔍
07/28/2017 +1 days 🔍
07/28/2017 +0 days 🔍
07/28/2017 +0 days 🔍
11/02/2019 +827 days 🔍

Sourcesinfo

Advisory: hackerone.com
Status: Not defined

CVE: CVE-2017-11706 (🔍)
GCVE (CVE): GCVE-0-2017-11706
GCVE (VulDB): GCVE-100-104595
scip Labs: https://www.scip.ch/en/?labs.20130704

Entryinfo

Created: 07/28/2017 19:58
Updated: 11/02/2019 08:10
Changes: 07/28/2017 19:58 (61), 11/02/2019 08:10 (1)
Complete: 🔍
Cache ID: 216::103

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

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