Table Filter/Charts up to 5.3.25 on Confluence Markdown cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in Table Filter and Charts up to 5.3.25 on Confluence. This vulnerability affects unknown code. The manipulation as part of Markdown leads to cross site scripting. This vulnerability is uniquely identified as CVE-2020-24897. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability, which was classified as problematic, has been found in Table Filter and Charts up to 5.3.25 on Confluence (Atlassian Confluence Plugin). This issue affects an unknown functionality. The manipulation as part of a Markdown leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to CWE-80. The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes special characters such as "<", ">", and "&" that could be interpreted as web-scripting elements when they are sent to a downstream component that processes web pages. Impacted is integrity. The summary by CVE is:
The Table Filter and Charts for Confluence Server app before 5.3.25 (for Atlassian Confluence) allow remote attackers to inject arbitrary HTML or JavaScript via cross site scripting (XSS) through the provided Markdown markup to the "Table from CSV" macro.
The weakness was disclosed 08/29/2020. The identification of this vulnerability is CVE-2020-24897 since 08/28/2020. The attack may be initiated remotely. The successful exploitation needs a simple authentication. 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-160428 is pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
- 5.3.0
- 5.3.1
- 5.3.2
- 5.3.3
- 5.3.4
- 5.3.5
- 5.3.6
- 5.3.7
- 5.3.8
- 5.3.9
- 5.3.10
- 5.3.11
- 5.3.12
- 5.3.13
- 5.3.14
- 5.3.15
- 5.3.16
- 5.3.17
- 5.3.18
- 5.3.19
- 5.3.20
- 5.3.21
- 5.3.22
- 5.3.23
- 5.3.24
- 5.3.25
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.6VulDB Meta Temp Score: 6.6
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.9
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-80 / CWE-74 / CWE-707
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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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
08/28/2020 🔍08/29/2020 🔍
08/30/2020 🔍
11/11/2020 🔍
Sources
Status: Not definedCVE: CVE-2020-24897 (🔍)
GCVE (CVE): GCVE-0-2020-24897
GCVE (VulDB): GCVE-100-160427
See also: 🔍
Entry
Created: 08/30/2020 08:47Updated: 11/11/2020 21:50
Changes: 08/30/2020 08:47 (36), 08/30/2020 08:52 (12), 11/10/2020 08:54 (1), 11/11/2020 21:50 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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