Robotics-STAR-Lab RACER Fast Exploration FSM fast_exploration_fsm.cpp optTimerCallback denial of service
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.44+ |
Summary
A vulnerability, which was classified as problematic, has been found in Robotics-STAR-Lab RACER. This vulnerability affects the function FastExplorationFSM::optTimerCallback of the file swarm_exploration/exploration_manager/src/fast_exploration_fsm.cpp of the component Fast Exploration FSM. The manipulation leads to denial of service.
This vulnerability is referenced as CVE-2026-71646. Remote exploitation of the attack is possible. No exploit is available.
To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability was found in Robotics-STAR-Lab RACER (affected version unknown). It has been rated as problematic. This issue affects the function FastExplorationFSM::optTimerCallback of the file swarm_exploration/exploration_manager/src/fast_exploration_fsm.cpp of the component Fast Exploration FSM. The manipulation with an unknown input leads to a denial of service vulnerability. Using CWE to declare the problem leads to CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. Impacted is availability. The summary by CVE is:
An issue in Robotics-STAR-Lab (SYSU STAR Group) RACER Tested affected version: commit abcdef1234567890 allows an attacker to cause a denial of service via the FastExplorationFSM::optTimerCallback() in swarm_exploration/exploration_manager/src/fast_exploration_fsm.cpp
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-71646 since 08/07/2026. The exploitation is known to be easy. The attack may be initiated remotely. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
Applying the patch abcdef1234567890 is able to eliminate this problem.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.3VulDB Meta Temp Score: 4.1
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Denial of serviceCWE: CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔒
Patch: abcdef1234567890
Timeline
08/07/2026 CVE reserved09/11/2026 Advisory disclosed
09/11/2026 VulDB entry created
09/11/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-71646 (🔒)
GCVE (CVE): GCVE-0-2026-71646
GCVE (VulDB): GCVE-100-402515
Entry
Created: 09/11/2026 20:48Changes: 09/11/2026 20:48 (56)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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