Synetics Idoit Pro 28 id/lang/mNavID/name/pID/treeNode/type/view cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.5 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Synetics Idoit Pro 28. Affected by this issue is some unknown functionality. This manipulation of the argument id/lang/mNavID/name/pID/treeNode/type/view causes cross site scripting. This vulnerability is tracked as CVE-2024-8750. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability has been found in Synetics Idoit Pro 28 and classified as problematic. Affected by this vulnerability is an unknown code. The manipulation of the argument id/lang/mNavID/name/pID/treeNode/type/view 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:
Cross-site Scripting (XSS) vulnerability in idoit pro version 28. This vulnerability allows an attacker to retrieve session details of an authenticated user due to lack of proper sanitization of the following parameters (id,lang,mNavID,name,pID,treeNode,type,view).
The weakness was disclosed by Adriá Bonilla Martin and Héctor de Armas. It is possible to read the advisory at incibe.es. This vulnerability is known as CVE-2024-8750 since 09/12/2024. The exploitation appears to be easy. The attack can be launched remotely. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.5VulDB Meta Temp Score: 3.5
VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
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
09/12/2024 🔍09/12/2024 🔍
09/12/2024 🔍
03/10/2025 🔍
Sources
Advisory: incibe.esResearcher: Adriá Bonilla Martin, Héctor de Armas
Status: Not defined
CVE: CVE-2024-8750 (🔍)
GCVE (CVE): GCVE-0-2024-8750
GCVE (VulDB): GCVE-100-277267
Entry
Created: 09/12/2024 14:33Updated: 03/10/2025 14:11
Changes: 09/12/2024 14:33 (20), 09/12/2024 14:36 (34), 03/10/2025 14:11 (3)
Complete: 🔍
Committer: sany
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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