CVE-2025-10258 Overview
Infinera DNA is vulnerable to a time-based SQL injection vulnerability due to insufficient input validation, which may result in leaking of sensitive information. This vulnerability allows attackers with adjacent network access and low-level privileges to extract confidential data from the underlying database through crafted SQL queries that manipulate response timing.
Critical Impact
Attackers on the adjacent network can exploit this SQL injection flaw to exfiltrate sensitive information from Infinera DNA systems, potentially compromising network configuration data, credentials, and other confidential information stored in the database.
Affected Products
- Infinera DNA (Digital Network Administrator)
Discovery Timeline
- 2026-02-05 - CVE CVE-2025-10258 published to NVD
- 2026-02-05 - Last updated in NVD database
Technical Details for CVE-2025-10258
Vulnerability Analysis
This time-based SQL injection vulnerability in Infinera DNA stems from insufficient input validation in one or more application endpoints. Time-based SQL injection is a blind injection technique where attackers infer database information by measuring response delays caused by injected SQL commands containing time-delay functions.
The attack requires adjacent network access, meaning the attacker must be on the same local network segment as the vulnerable Infinera DNA system. While this limits the attack surface compared to remotely exploitable vulnerabilities, it remains a significant concern in enterprise environments where internal network segmentation may be incomplete.
The primary impact is on confidentiality, with potential for high-severity data exposure. Additionally, there is a low availability impact, suggesting that exploitation could cause minor service disruptions during attack attempts.
Root Cause
The root cause of this vulnerability is insufficient input validation and improper sanitization of user-supplied data before it is incorporated into SQL queries. The application fails to properly parameterize database queries or adequately filter malicious input, allowing specially crafted input containing SQL syntax to be interpreted as part of the query structure rather than as data.
Attack Vector
The attack vector requires adjacent network access with low-privilege authentication. An attacker positioned on the same network segment as the Infinera DNA system can exploit this vulnerability without user interaction. The attacker crafts malicious input containing time-delay SQL functions (such as SLEEP(), WAITFOR DELAY, or pg_sleep() depending on the database backend) and monitors response times to infer database contents character by character.
Time-based SQL injection attacks typically proceed by:
- Identifying injectable parameters in the application
- Confirming SQL injection by causing measurable delays in responses
- Extracting data by crafting conditional queries that introduce delays based on true/false conditions
- Automating extraction using tools to iterate through database tables, columns, and records
For detailed technical information, refer to the Nokia Security Advisory for CVE-2025-10258.
Detection Methods for CVE-2025-10258
Indicators of Compromise
- Unusual response time patterns from the Infinera DNA application, particularly requests with consistently delayed responses
- Database query logs showing SQL syntax containing time-delay functions such as SLEEP(), WAITFOR, or BENCHMARK()
- Repeated requests to the same endpoint with incrementally modified parameters suggesting automated extraction attempts
- Network traffic showing high volumes of requests from a single source to the Infinera DNA management interface
Detection Strategies
- Implement database query logging and monitor for anomalous queries containing time-delay functions or other SQL injection indicators
- Deploy web application firewall (WAF) rules to detect and block common SQL injection patterns in request parameters
- Configure network intrusion detection systems (NIDS) to alert on traffic patterns consistent with SQL injection exploitation
- Enable application-level logging to track request response times and identify statistical anomalies
Monitoring Recommendations
- Monitor Infinera DNA application logs for error messages indicating malformed SQL queries or database errors
- Implement response time monitoring to detect abnormal delays that may indicate time-based injection attempts
- Review network traffic to and from the Infinera DNA system for unusual patterns from adjacent network hosts
- Establish baseline metrics for normal application behavior to improve anomaly detection accuracy
How to Mitigate CVE-2025-10258
Immediate Actions Required
- Restrict network access to Infinera DNA systems to only authorized management workstations and networks
- Implement network segmentation to limit adjacent network exposure and reduce the attack surface
- Review and audit user accounts with access to the Infinera DNA system, removing unnecessary privileges
- Deploy web application firewall rules to filter SQL injection attempts targeting the vulnerable endpoints
Patch Information
Consult the Nokia Security Advisory for CVE-2025-10258 for official patch information and remediation guidance from the vendor. Apply any available security updates as soon as they become available.
Workarounds
- Implement strict network access controls limiting connectivity to the Infinera DNA management interface from trusted hosts only
- Deploy a web application firewall (WAF) with SQL injection detection rules in front of the vulnerable application
- Enable enhanced logging and monitoring to detect and respond to exploitation attempts in real-time
- Consider disabling non-essential features or endpoints until patches are applied
# Example: Network segmentation using iptables to restrict access
# Limit access to Infinera DNA management interface to authorized subnet only
iptables -A INPUT -p tcp --dport 443 -s 10.10.10.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 443 -j DROP
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


