Intland codeBeamer ALM up to 9.5 Upload Flash File SWF File cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.7 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Intland codeBeamer ALM up to 9.5. Affected by this vulnerability is an unknown functionality of the component Upload Flash File Handler. Performing a manipulation as part of SWF File results in cross site scripting. This vulnerability is reported as CVE-2019-19912. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability, which was classified as problematic, was found in Intland codeBeamer ALM up to 9.5. This affects some unknown functionality of the component Upload Flash File Handler. The manipulation as part of a SWF File leads to a cross site scripting vulnerability. CWE is classifying the issue as 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. This is going to have an impact on integrity. The summary by CVE is:
In Intland codeBeamer ALM 9.5 and earlier, a cross-site scripting (XSS) vulnerability in the Upload Flash File feature allows authenticated remote attackers to inject arbitrary scripts via an active script embedded in an SWF file.
The weakness was disclosed 03/30/2020. This vulnerability is uniquely identified as CVE-2019-19912 since 12/19/2019. It is possible to initiate the attack remotely. A authentication is required for exploitation. The technical details are unknown and an exploit is not publicly available. 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.
The entry VDB-152428 is pretty similar. 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: 3.7VulDB Meta Temp Score: 3.7
VulDB Base Score: 2.7
VulDB Temp Score: 2.7
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 4.8
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Cross site scriptingCWE: 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: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
12/19/2019 🔍03/30/2020 🔍
03/31/2020 🔍
05/12/2024 🔍
Sources
Advisory: 156951Status: Not defined
CVE: CVE-2019-19912 (🔍)
GCVE (CVE): GCVE-0-2019-19912
GCVE (VulDB): GCVE-100-152427
See also: 🔍
Entry
Created: 03/31/2020 10:14Updated: 05/12/2024 10:28
Changes: 03/31/2020 10:14 (37), 03/31/2020 10:19 (17), 05/12/2024 10:28 (18)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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