Spark App up to 2.0.2 on Android Event Attribute src cross site scripting

CVSS Meta Temp Score
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CTI Interest Score
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5.2$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in Spark App up to 2.0.2 on Android. Affected by this vulnerability is an unknown functionality of the component Event Attribute Handler. The manipulation of the argument src leads to cross site scripting. This vulnerability is documented as CVE-2019-12370. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in Spark App up to 2.0.2 on Android (Android App Software). It has been rated as problematic. This issue affects some unknown functionality of the component Event Attribute Handler. The manipulation of the argument src with an unknown input leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. Impacted is integrity. The summary by CVE is:

The Spark application through 2.0.2 for Android allows XSS via an event attribute and arbitrary file loading via a src attribute, if the application has the READ_EXTERNAL_STORAGE permission.

The weakness was released 03/18/2020. The identification of this vulnerability is CVE-2019-12370 since 05/27/2019. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059.007 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.

Entries connected to this vulnerability are available at VDB-151810, VDB-151809, VDB-151808 and VDB-151807. 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: 5.2
VulDB Meta Temp Score: 5.2

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.1
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
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

05/27/2019 🔍
03/18/2020 +296 days 🔍
03/19/2020 +1 days 🔍
03/19/2020 +0 days 🔍

Sourcesinfo

Status: Not defined

CVE: CVE-2019-12370 (🔍)
GCVE (CVE): GCVE-0-2019-12370
GCVE (VulDB): GCVE-100-151811
scip Labs: https://www.scip.ch/en/?labs.20130704
See also: 🔍

Entryinfo

Created: 03/19/2020 08:52
Updated: 03/19/2020 08:57
Changes: 03/19/2020 08:52 (38), 03/19/2020 08:57 (18)
Complete: 🔍
Cache ID: 216::103

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

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