baijiacms V4 ZeroClipboard.swf ID cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.2 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in baijiacms V4 and classified as problematic. This affects an unknown part of the file assets/weengine/components/zclip/ZeroClipboard.swf. This manipulation of the argument ID as part of Parameter causes cross site scripting. This vulnerability appears as CVE-2018-16725. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability has been found in baijiacms V4 and classified as problematic. Affected by this vulnerability is an unknown part of the file assets/weengine/components/zclip/ZeroClipboard.swf. The manipulation of the argument id as part of a Parameter leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect integrity. The summary by CVE is:
An issue is discovered in baijiacms V4. XSS exists via the assets/weengine/components/zclip/ZeroClipboard.swf id parameter, aka "Non-standard use of the flash component."
The bug was discovered 09/08/2018. The weakness was presented 09/08/2018 (Website). It is possible to read the advisory at github.com. This vulnerability is known as CVE-2018-16725 since 09/08/2018. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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.
See VDB-123762 for similar entry. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.2VulDB 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: 🔍
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: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
09/08/2018 🔍09/08/2018 🔍
09/08/2018 🔍
09/08/2018 🔍
09/09/2018 🔍
03/21/2020 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2018-16725 (🔍)
GCVE (CVE): GCVE-0-2018-16725
GCVE (VulDB): GCVE-100-123763
See also: 🔍
Entry
Created: 09/09/2018 11:01Updated: 03/21/2020 19:33
Changes: 09/09/2018 11:01 (57), 03/21/2020 19:33 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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