PoodLL Filter Plugin up to 3.0.20 on Moodle cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.0 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in PoodLL Filter Plugin up to 3.0.20 on Moodle and classified as problematic. Affected is an unknown function. This manipulation causes cross site scripting. The identification of this vulnerability is CVE-2017-5945. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability has been found in PoodLL Filter Plugin up to 3.0.20 on Moodle and classified as problematic. Affected by this vulnerability is an unknown part. The manipulation with an unknown input 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 was discovered in the PoodLL Filter plugin through 3.0.20 for Moodle. The vulnerability exists due to insufficient filtration of user-supplied data in the "poodll_audio_url" HTTP GET parameter passed to the "filter_poodll_moodle32_2016112802/poodll/mp3recorderskins/brazil/index.php" URL. An attacker could execute arbitrary HTML and script code in a browser in the context of the vulnerable website.
The bug was discovered 02/09/2017. The weakness was shared 02/10/2017 by Venustech with Adlab of Venustech (GitHub Repository). It is possible to read the advisory at github.com. This vulnerability is known as CVE-2017-5945 since 02/09/2017. 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. 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.
The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 96212†). Be aware that VulDB is the high quality source for vulnerability data.
Product
Name
Version
- 3.0.0
- 3.0.1
- 3.0.2
- 3.0.3
- 3.0.4
- 3.0.5
- 3.0.6
- 3.0.7
- 3.0.8
- 3.0.9
- 3.0.10
- 3.0.11
- 3.0.12
- 3.0.13
- 3.0.14
- 3.0.15
- 3.0.16
- 3.0.17
- 3.0.18
- 3.0.19
- 3.0.20
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.2VulDB Meta Temp Score: 5.0
VulDB Base Score: 4.3
VulDB Temp Score: 4.0
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: 🔍
| 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
02/09/2017 🔍02/09/2017 🔍
02/10/2017 🔍
02/10/2017 🔍
02/10/2017 🔍
02/10/2017 🔍
11/12/2022 🔍
Sources
Advisory: 23Researcher: Venustech
Organization: Adlab of Venustech
Status: Not defined
CVE: CVE-2017-5945 (🔍)
GCVE (CVE): GCVE-0-2017-5945
GCVE (VulDB): GCVE-100-96799
SecurityFocus: 96212 - Moodle PoodLL Filter Plugin CVE-2017-5945 Cross Site Scripting Vulnerability
OSVDB: - CVE-2017-5945 - PoodLL Filter - Cross-Site Scripting Issue
Entry
Created: 02/10/2017 15:00Updated: 11/12/2022 16:45
Changes: 02/10/2017 15:00 (57), 09/01/2020 17:43 (6), 11/12/2022 16:45 (3)
Complete: 🔍
Cache ID: 216:A77:103
Be aware that VulDB is the high quality source for vulnerability data.
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