usmannasir CyberPanel up to 2.4.3 Remote Backup Feature authorized_keys remote server address improper authorization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 9.5 | $0-$5k | 0.44- |
Summary
A vulnerability marked as very critical has been reported in usmannasir CyberPanel up to 2.4.3. The impacted element is an unknown function of the file /root/.ssh/authorized_keys of the component Remote Backup Feature. Performing a manipulation of the argument remote server address results in improper authorization. This vulnerability is reported as CVE-2026-71965. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability, which was classified as very critical, was found in usmannasir CyberPanel up to 2.4.3. This affects an unknown code of the file /root/.ssh/authorized_keys of the component Remote Backup Feature. The manipulation of the argument remote server address with an unknown input leads to a improper authorization vulnerability. CWE is classifying the issue as CWE-285. The product does not perform or incorrectly performs an authorization check when an actor attempts to access a resource or perform an action. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
CyberPanel 2.4.3, fixed in commit eca0c3c, contains an authenticated remote code execution vulnerability in the remote backup feature that allows authenticated attackers to gain root-level SSH access by supplying a malicious remote server address. Attackers can exploit the unverified SSH public key retrieval process to write an attacker-controlled public key directly to /root/.ssh/authorized_keys, granting persistent root access to the host system.
It is possible to read the advisory at themcsam.github.io. This vulnerability is uniquely identified as CVE-2026-71965 since 08/08/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 08/10/2026). The attack technique deployed by this issue is T1548.002 according to MITRE ATT&CK.
Applying the patch eca0c3cbeb35af8eaae9fafb094e8ef3cd923643 is able to eliminate this problem.
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: 9.9VulDB Meta Temp Score: 9.5
VulDB Base Score: 9.9
VulDB Temp Score: 9.5
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
Class: Improper authorizationCWE: CWE-285 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
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: PatchStatus: 🔍
0-Day Time: 🔒
Patch: eca0c3cbeb35af8eaae9fafb094e8ef3cd923643
Timeline
08/08/2026 CVE reserved08/10/2026 Advisory disclosed
08/10/2026 VulDB entry created
08/10/2026 VulDB entry last update
Sources
Advisory: themcsam.github.ioStatus: Confirmed
CVE: CVE-2026-71965 (🔒)
GCVE (CVE): GCVE-0-2026-71965
GCVE (VulDB): GCVE-100-387867
Entry
Created: 08/10/2026 21:29Changes: 08/10/2026 21:29 (56)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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