XWiki xwiki-platform-office-viewer prior 13.10.11/14.4.8/14.10.1/15.0-rc-1 Office Document Viewer information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.8 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in XWiki xwiki-platform-office-viewer. Affected by this vulnerability is an unknown functionality of the component Office Document Viewer. The manipulation leads to information disclosure. This vulnerability is uniquely identified as CVE-2023-29517. The attack is possible to be carried out remotely. No exploit exists. It is advisable to upgrade the affected component.
Details
A vulnerability was found in XWiki xwiki-platform-office-viewer (Content Management System) and classified as problematic. This issue affects an unknown functionality of the component Office Document Viewer. The manipulation with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:
XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. The office document viewer macro was allowing anyone to see any file content from the hosting server, provided that the office server was connected and depending on the permissions of the user running the servlet engine (e.g. tomcat) running XWiki. The same vulnerability also allowed to perform internal requests to resources from the hosting server. The problem has been patched in XWiki 13.10.11, 14.10.1, 14.4.8, 15.0-rc-1. Users are advised to upgrade. It might be possible to workaround this vulnerability by running XWiki in a sandbox with a user with very low privileges on the machine.
The weakness was disclosed 04/19/2023 as GHSA-m3c3-9qj7-7xmx. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2023-29517 since 04/07/2023. 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.
Upgrading to version 13.10.11, 14.4.8, 14.10.1 or 15.0-rc-1 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.8
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Information disclosureCWE: 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: 🔍
| 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: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: xwiki-platform-office-viewer 13.10.11/14.4.8/14.10.1/15.0-rc-1
Timeline
04/07/2023 🔍04/19/2023 🔍
04/19/2023 🔍
04/19/2023 🔍
Sources
Advisory: GHSA-m3c3-9qj7-7xmxStatus: Confirmed
CVE: CVE-2023-29517 (🔍)
GCVE (CVE): GCVE-0-2023-29517
GCVE (VulDB): GCVE-100-226787
Entry
Created: 04/19/2023 07:03Changes: 04/19/2023 07:03 (51)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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