CVE-2026-12851 (GCVE-0-2026-12851)
Vulnerability from cvelistv5 – Published: 2026-06-24 03:40 – Updated: 2026-06-24 12:50
VLAI
EPSS
VEX
Title
GeoVision GV-I/O Box 4E libNetSetObj.so OS command injection vulnerability
Summary
Multiple OS command injection vulnerabilities exist in the libNetSetObj.so functionality of GeoVision GV-I/O Box 4E 2.09. A specially crafted network packet can lead to command execution. An attacker can send a network request to trigger this vulnerability.
`libNetSetObj.so` is an internal library used by various binaries on the device to configure the network stack (start and stop various services, configure IP, Netmask, gateway, dns, etc.)
#### CNetSetObj::m_F_n_Set_DNS_Addr command injection
The following function can take up to two addresses, performs no sanitization and then calls `system`. This is a classic command injection vulnerability. The function is reachable from both the network-exposed `DVRSearch` service and the `Network.cgi` endpoint.
int __fastcall CNetSetObj::m_F_n_Set_DNS_Addr(CNetSetObj *this, char *dns1, char *dns2)
{
int result; // r0
char v5[80]; // [sp+0h] [bp-50h] BYREF
if ( !dns1 )
result = 0;
if ( dns1 )
{
sprintf(v5, "/bin/echo nameserver %s > /etc/resolv.conf", dns1); // attacker controlled dns1 field
system(v5);
if ( dns2 )
{
sprintf(v5, "/bin/echo nameserver %s >> /etc/resolv.conf", dns2);
system(v5);
}
return 1;
}
return result;
Severity
9.1 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-24 12:50 UTC
CWE
- CWE-78 - Improper neutralization of special elements used in an OS command ('OS command injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.geovision.com.tw/cyber_security.php | vendor-advisory |
| https://talosintelligence.com/vulnerability_repor… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| GeoVision Inc. | GV-I/O Box 4E |
Affected:
V2.09
Unaffected: V2.12 cpe:2.3:a:geovision_inc.:gv-i_o_box_4e:v2.09:*:linux:*:*:*:*:* |
Date Public
2026-06-17 03:31
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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