| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.2 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Fortinet FortiOS. It has been rated as problematic. This issue affects some unknown processing of the component List field sorted. This manipulation causes cross site scripting (Reflected). Remote exploitation of the attack is possible. Furthermore, an exploit is available.
Details
A vulnerability classified as problematic was found in Fortinet FortiOS (Firewall Software) (version unknown). Affected by this vulnerability is an unknown function of the component List field sorted. The manipulation with an unknown input leads to a cross site scripting vulnerability (Reflected). The CWE definition for the vulnerability is 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. As an impact it is known to affect integrity.
The weakness was published 01/26/2012 by Benjamin Kunz Mejri as VL-ID 144 as not defined advisory (Website). It is possible to read the advisory at vulnerability-lab.com. The exploitation appears to be easy. The attack can be launched remotely. The successful exploitation requires a single authentication. It demands that the victim is doing some kind of user interaction. Technical details are unknown but a public exploit is available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
A public exploit has been developed by Benjamin Kunz Mejri and been published immediately after the advisory. It is possible to download the exploit at vulnerability-lab.com. It is declared as proof-of-concept.
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 databases at X-Force (72761) and SecurityTracker (ID 1026594†). Additional details are provided at sans.org. Similar entries are available at VDB-91311, VDB-91312, VDB-91313 and VDB-91314. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
License
Website
- Vendor: https://www.fortinet.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.5VulDB Meta Temp Score: 3.2
VulDB Base Score: 3.5
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
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
Name: ReflectedClass: Cross site scripting / Reflected
CWE: CWE-80 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Author: Benjamin Kunz Mejri
Download: 🔍
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: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Exploit Delay Time: 🔍
Timeline
01/26/2012 🔍01/26/2012 🔍
09/07/2016 🔍
03/07/2018 🔍
Sources
Vendor: fortinet.comAdvisory: VL-ID 144
Researcher: Benjamin Kunz Mejri
Status: Not defined
Confirmation: 🔍
GCVE (VulDB): GCVE-100-91315
X-Force: 72761
SecurityTracker: 1026594
scip Labs: https://www.scip.ch/en/?labs.20161013
Misc.: 🔍
See also: 🔍
Entry
Created: 09/07/2016 14:17Updated: 03/07/2018 09:32
Changes: 09/07/2016 14:17 (48), 03/07/2018 09:32 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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