CVE-2026-20053: Heap-based Buffer Overflow in Cisco Cisco Cyber Vision
Multiple Cisco products are affected by a vulnerability in the Snort 3 VBA feature that could allow an unauthenticated, remote attacker to cause the Snort 3 Detection Engine to crash. This vulnerability is due to improper range checking when decompressing VBA data, which is user controlled. An attacker could exploit this vulnerability by sending crafted VBA data to the Snort 3 Detection Engine on the targeted device. A successful exploit could allow the attacker to cause an overflow of heap data, which could cause a DoS condition.
AI Analysis
Technical Summary
CVE-2026-20053 is a heap-based buffer overflow vulnerability identified in the Snort 3 VBA feature embedded within Cisco Cyber Vision products. The root cause is improper range checking during the decompression of VBA data, which is controlled by the user. An attacker can exploit this flaw by sending specially crafted VBA data packets to the Snort 3 Detection Engine running on affected Cisco Cyber Vision devices. This crafted input causes a heap overflow, leading to a crash of the detection engine and resulting in a denial-of-service (DoS) condition. The vulnerability affects a broad range of Cisco Cyber Vision versions, spanning from 3.0.0 to 5.3.2, indicating a long-standing issue across multiple product releases. The CVSS v3.1 base score is 5.8, reflecting a medium severity level, with an attack vector that is network-based, requiring no privileges or user interaction. The scope is marked as changed (S:C), meaning the vulnerability affects components beyond the initially vulnerable component, potentially impacting the entire system's availability. No confidentiality or integrity impacts are noted, but availability is compromised. No known exploits have been reported in the wild as of the publication date. The vulnerability is significant because Cisco Cyber Vision is widely used for industrial network monitoring and security, and a DoS condition could disrupt critical operational technology (OT) environments. The lack of authentication requirements and ease of triggering the vulnerability remotely increase its risk profile. The absence of patches at the time of reporting necessitates proactive mitigation strategies.
Potential Impact
The primary impact of CVE-2026-20053 is a denial-of-service condition caused by the crashing of the Snort 3 Detection Engine within Cisco Cyber Vision devices. This can disrupt industrial network monitoring and security operations, potentially leading to blind spots in threat detection and response. Organizations relying on Cisco Cyber Vision for visibility into operational technology networks may experience interruptions in their security posture, increasing the risk of undetected attacks or operational failures. The vulnerability does not directly compromise confidentiality or integrity but affects availability, which is critical in industrial control systems and environments where continuous monitoring is essential. The ease of remote exploitation without authentication means attackers can cause service outages from anywhere on the network, including potentially from the internet if devices are exposed. This could be leveraged in targeted attacks against critical infrastructure, manufacturing, energy, or other sectors using Cisco Cyber Vision. The broad range of affected versions indicates many organizations may be vulnerable, especially those with delayed patching cycles. While no exploits are currently known in the wild, the vulnerability's characteristics make it a candidate for future exploitation, especially by threat actors aiming to disrupt industrial operations.
Mitigation Recommendations
1. Monitor Cisco's official security advisories closely and apply patches or updates as soon as they become available for Cisco Cyber Vision versions affected by CVE-2026-20053. 2. Implement network segmentation to isolate Cisco Cyber Vision devices from untrusted networks, limiting exposure to potentially malicious VBA data inputs. 3. Use intrusion detection and prevention systems (IDPS) to monitor and block suspicious traffic patterns targeting the Snort 3 Detection Engine, particularly malformed VBA data packets. 4. Restrict network access to Cisco Cyber Vision devices to trusted management networks and authorized personnel only. 5. Employ strict firewall rules to prevent unauthorized external access to the devices running the vulnerable Snort 3 engine. 6. Conduct regular security assessments and penetration testing focused on industrial network monitoring tools to identify and remediate similar vulnerabilities proactively. 7. Maintain comprehensive logging and alerting on Cisco Cyber Vision devices to detect crashes or abnormal behavior indicative of exploitation attempts. 8. Develop and test incident response plans that include scenarios involving denial-of-service attacks on critical monitoring infrastructure to ensure rapid recovery and continuity.
Affected Countries
United States, Germany, China, Japan, South Korea, United Kingdom, France, Canada, Australia, India, Brazil, Russia, Italy, Netherlands, Singapore
CVE-2026-20053: Heap-based Buffer Overflow in Cisco Cisco Cyber Vision
Description
Multiple Cisco products are affected by a vulnerability in the Snort 3 VBA feature that could allow an unauthenticated, remote attacker to cause the Snort 3 Detection Engine to crash. This vulnerability is due to improper range checking when decompressing VBA data, which is user controlled. An attacker could exploit this vulnerability by sending crafted VBA data to the Snort 3 Detection Engine on the targeted device. A successful exploit could allow the attacker to cause an overflow of heap data, which could cause a DoS condition.
AI-Powered Analysis
Technical Analysis
CVE-2026-20053 is a heap-based buffer overflow vulnerability identified in the Snort 3 VBA feature embedded within Cisco Cyber Vision products. The root cause is improper range checking during the decompression of VBA data, which is controlled by the user. An attacker can exploit this flaw by sending specially crafted VBA data packets to the Snort 3 Detection Engine running on affected Cisco Cyber Vision devices. This crafted input causes a heap overflow, leading to a crash of the detection engine and resulting in a denial-of-service (DoS) condition. The vulnerability affects a broad range of Cisco Cyber Vision versions, spanning from 3.0.0 to 5.3.2, indicating a long-standing issue across multiple product releases. The CVSS v3.1 base score is 5.8, reflecting a medium severity level, with an attack vector that is network-based, requiring no privileges or user interaction. The scope is marked as changed (S:C), meaning the vulnerability affects components beyond the initially vulnerable component, potentially impacting the entire system's availability. No confidentiality or integrity impacts are noted, but availability is compromised. No known exploits have been reported in the wild as of the publication date. The vulnerability is significant because Cisco Cyber Vision is widely used for industrial network monitoring and security, and a DoS condition could disrupt critical operational technology (OT) environments. The lack of authentication requirements and ease of triggering the vulnerability remotely increase its risk profile. The absence of patches at the time of reporting necessitates proactive mitigation strategies.
Potential Impact
The primary impact of CVE-2026-20053 is a denial-of-service condition caused by the crashing of the Snort 3 Detection Engine within Cisco Cyber Vision devices. This can disrupt industrial network monitoring and security operations, potentially leading to blind spots in threat detection and response. Organizations relying on Cisco Cyber Vision for visibility into operational technology networks may experience interruptions in their security posture, increasing the risk of undetected attacks or operational failures. The vulnerability does not directly compromise confidentiality or integrity but affects availability, which is critical in industrial control systems and environments where continuous monitoring is essential. The ease of remote exploitation without authentication means attackers can cause service outages from anywhere on the network, including potentially from the internet if devices are exposed. This could be leveraged in targeted attacks against critical infrastructure, manufacturing, energy, or other sectors using Cisco Cyber Vision. The broad range of affected versions indicates many organizations may be vulnerable, especially those with delayed patching cycles. While no exploits are currently known in the wild, the vulnerability's characteristics make it a candidate for future exploitation, especially by threat actors aiming to disrupt industrial operations.
Mitigation Recommendations
1. Monitor Cisco's official security advisories closely and apply patches or updates as soon as they become available for Cisco Cyber Vision versions affected by CVE-2026-20053. 2. Implement network segmentation to isolate Cisco Cyber Vision devices from untrusted networks, limiting exposure to potentially malicious VBA data inputs. 3. Use intrusion detection and prevention systems (IDPS) to monitor and block suspicious traffic patterns targeting the Snort 3 Detection Engine, particularly malformed VBA data packets. 4. Restrict network access to Cisco Cyber Vision devices to trusted management networks and authorized personnel only. 5. Employ strict firewall rules to prevent unauthorized external access to the devices running the vulnerable Snort 3 engine. 6. Conduct regular security assessments and penetration testing focused on industrial network monitoring tools to identify and remediate similar vulnerabilities proactively. 7. Maintain comprehensive logging and alerting on Cisco Cyber Vision devices to detect crashes or abnormal behavior indicative of exploitation attempts. 8. Develop and test incident response plans that include scenarios involving denial-of-service attacks on critical monitoring infrastructure to ensure rapid recovery and continuity.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- cisco
- Date Reserved
- 2025-10-08T11:59:15.355Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 69a87779d1a09e29cb54d326
Added to database: 3/4/2026, 6:18:33 PM
Last enriched: 3/4/2026, 6:20:36 PM
Last updated: 3/4/2026, 11:23:30 PM
Views: 3
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