Rockwell Automation Arena Simulation up to 16.20.02 use after free
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.1 | $0-$5k | 0.00 |
Summary
A vulnerability classified as very critical has been found in Rockwell Automation Arena Simulation up to 16.20.02. This vulnerability affects unknown code. This manipulation causes use after free. The identification of this vulnerability is CVE-2024-21918. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability was found in Rockwell Automation Arena Simulation up to 16.20.02. It has been declared as very critical. Affected by this vulnerability is some unknown processing. The manipulation with an unknown input leads to a use after free vulnerability. The CWE definition for the vulnerability is CWE-416. Referencing memory after it has been freed can cause a program to crash, use unexpected values, or execute code. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
A memory buffer vulnerability in Rockwell Automation Arena Simulation software could potentially allow a malicious user to insert unauthorized code to the software by corrupting the memory and triggering an access violation. Once inside, the threat actor can run harmful code on the system. This affects the confidentiality, integrity, and availability of the product. To trigger this, the user would unwittingly need to open a malicious file shared by the threat actor.
The weakness was shared by Michael Heinzl. It is possible to read the advisory at rockwellautomation.com. This vulnerability is known as CVE-2024-21918 since 01/03/2024. The exploitation appears to be easy. 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 pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 12/10/2024).
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
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.1VulDB Meta Temp Score: 8.1
VulDB Base Score: 8.8
VulDB Temp Score: 8.8
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
CNA Base Score: 7.8
CNA Vector (Rockwell Automation): 🔍
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
Class: Use after freeCWE: CWE-416 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
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: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
01/03/2024 🔍03/26/2024 🔍
03/26/2024 🔍
04/13/2025 🔍
Sources
Advisory: rockwellautomation.comResearcher: Michael Heinzl
Status: Confirmed
CVE: CVE-2024-21918 (🔍)
GCVE (CVE): GCVE-0-2024-21918
GCVE (VulDB): GCVE-100-258019
Entry
Created: 03/26/2024 17:14Updated: 04/13/2025 06:05
Changes: 03/26/2024 17:14 (61), 05/05/2024 08:18 (1), 12/10/2024 01:57 (13), 04/13/2025 06:05 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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