ASUSTOR ADM 3.1.0.RFQ3 Photo Gallery Application tree_lists album_id/scope sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in ASUSTOR ADM 3.1.0.RFQ3 and classified as critical. Affected by this vulnerability is an unknown functionality of the file photo-gallery/api/album/tree_lists/ of the component Photo Gallery Application. Executing a manipulation of the argument album_id/scope can lead to sql injection. This vulnerability is registered as CVE-2018-11511. It is possible to launch the attack remotely. Furthermore, an exploit is available.
Details
A vulnerability has been found in ASUSTOR ADM 3.1.0.RFQ3 and classified as critical. This vulnerability affects an unknown code of the file photo-gallery/api/album/tree_lists/ of the component Photo Gallery Application. The manipulation of the argument album_id/scope with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:
The tree list functionality in the photo gallery application in ASUSTOR ADM 3.1.0.RFQ3 has a SQL injection vulnerability that affects the 'album_id' or 'scope' parameter via a photo-gallery/api/album/tree_lists/ URI.
The bug was discovered 08/13/2018. The weakness was published 08/16/2018 (Website). The advisory is shared for download at packetstormsecurity.com. This vulnerability was named CVE-2018-11511 since 05/28/2018. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. Technical details and also a public exploit are known. The MITRE ATT&CK project declares the attack technique as T1505.
It is possible to download the exploit at exploit-db.com. It is declared as highly functional. The vulnerability was handled as a non-public zero-day exploit for at least 3 days. During that time the estimated underground price was around $0-$5k. The commercial vulnerability scanner Qualys is able to test this issue with plugin 13172 (Asustor ADM Multiple Security Vulnerabilities).
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 Exploit-DB (45200). Similar entries are available at VDB-120061 and VDB-122979. Once again VulDB remains the best source for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.5
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
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Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Highly functional
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Qualys ID: 🔍
Qualys Name: 🔍
D2Sec: ASUSTOR ADM 3.1 scope SQL Injection
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
05/28/2018 🔍08/13/2018 🔍
08/16/2018 🔍
08/16/2018 🔍
08/17/2018 🔍
07/05/2024 🔍
Sources
Advisory: 148919Status: Not defined
CVE: CVE-2018-11511 (🔍)
GCVE (CVE): GCVE-0-2018-11511
GCVE (VulDB): GCVE-100-122980
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍
Entry
Created: 08/17/2018 06:42Updated: 07/05/2024 20:23
Changes: 08/17/2018 06:42 (67), 03/16/2020 10:34 (4), 05/02/2023 12:11 (3), 07/05/2024 20:23 (16)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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