Mahara up to 1.8.6/1.9.4/1.10.2/15.03.x Watchlist Notification information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.7 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Mahara up to 1.8.6/1.9.4/1.10.2/15.03.x. It has been classified as problematic. This impacts an unknown function of the component Watchlist Notification Handler. Performing a manipulation results in information disclosure. This vulnerability is reported as CVE-2017-1000143. The attack is possible to be carried out remotely. No exploit exists. Upgrading the affected component is recommended.
Details
A vulnerability classified as problematic has been found in Mahara up to 1.8.6/1.9.4/1.10.2/15.03.x (Content Management System). This affects an unknown code block of the component Watchlist Notification Handler. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on availability. The summary by CVE is:
Mahara 1.8 before 1.8.7 and 1.9 before 1.9.5 and 1.10 before 1.10.3 and 15.04 before 15.04.0 are vulnerable to users receiving watchlist notifications about pages they do not have access to anymore.
The bug was discovered 04/20/2015. The weakness was disclosed 11/03/2017 (Website). It is possible to read the advisory at bugs.launchpad.net. This vulnerability is uniquely identified as CVE-2017-1000143 since 11/02/2017. It is possible to initiate the attack remotely. The requirement for exploitation is a authentication. It demands that the victim is doing some kind of user interaction. 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.
The vulnerability was handled as a non-public zero-day exploit for at least 928 days. During that time the estimated underground price was around $0-$5k.
Upgrading to version 1.8.7, 1.9.5, 1.10.3 or 15.04.0 eliminates this vulnerability.
The entries VDB-109111, VDB-109110, VDB-109109 and VDB-109108 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.9VulDB Meta Temp Score: 3.8
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 4.3
NVD Vector: 🔍
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: 🔍
NVD Base Score: 🔍
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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Mahara 1.8.7/1.9.5/1.10.3/15.04.0
Timeline
04/20/2015 🔍11/02/2017 🔍
11/03/2017 🔍
11/03/2017 🔍
11/04/2017 🔍
12/04/2019 🔍
Sources
Advisory: bugs.launchpad.netStatus: Not defined
CVE: CVE-2017-1000143 (🔍)
GCVE (CVE): GCVE-0-2017-1000143
GCVE (VulDB): GCVE-100-109107
See also: 🔍
Entry
Created: 11/04/2017 16:29Updated: 12/04/2019 11:02
Changes: 11/04/2017 16:29 (59), 12/04/2019 11:02 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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