GeoVision GV-LPC2211 up to 1.13 ONVIF ConsumerReference.Address os command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 9.2 | $0-$5k | 0.97+ |
Summary
A vulnerability was found in GeoVision GV-LPC2211 up to 1.13. It has been classified as very critical. This vulnerability affects unknown code of the component ONVIF. The manipulation of the argument ConsumerReference.Address leads to os command injection. This vulnerability is uniquely identified as CVE-2026-88277. The attack is possible to be carried out remotely. No exploit exists. Upgrading the affected component is recommended.
Details
A vulnerability, which was classified as very critical, has been found in GeoVision GV-LPC2211 up to 1.13. This issue affects an unknown code block of the component ONVIF. The manipulation of the argument ConsumerReference.Address with an unknown input leads to a os command injection vulnerability. Using CWE to declare the problem leads to CWE-78. The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
GeoVision GV-LPC2211 V1.13 allows an authenticated ONVIF user to inject shell commands through ConsumerReference.Address and execute arbitrary commands as root.
It is possible to read the advisory at geovision.com.tw. The identification of this vulnerability is CVE-2026-88277 since 09/10/2026. 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 pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/10/2026). The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.
Upgrading to version 1.14 eliminates this vulnerability.
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: 9.4VulDB Meta Temp Score: 9.2
VulDB Base Score: 9.9
VulDB Temp Score: 9.5
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.8
CNA Vector: 🔒
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Os command injectionCWE: CWE-78 / CWE-77 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: GV-LPC2211 1.14
Timeline
09/10/2026 Advisory disclosed09/10/2026 CVE reserved
09/10/2026 VulDB entry created
09/10/2026 VulDB entry last update
Sources
Advisory: geovision.com.twStatus: Confirmed
CVE: CVE-2026-88277 (🔒)
GCVE (CVE): GCVE-0-2026-88277
GCVE (VulDB): GCVE-100-401987
Entry
Created: 09/10/2026 10:48Changes: 09/10/2026 10:48 (64)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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