Logging and Alerting Failures
Logging and Alerting Failures

 

OWASP A09:2025 – Logging and Alerting Failures refers to security weaknesses that occur when applications and systems do not properly record, monitor, or alert on security-relevant events. This means that critical actions—such as failed login attempts, privilege misuse, data access, or system errors—are either not logged at all, logged incorrectly, or never reviewed. As a result, attacks can continue unnoticed for long periods, giving attackers time to move laterally, steal data, or cause damage without being detected. Effective logging, real-time alerting, and regular log analysis are essential to quickly identify suspicious activity, respond to incidents, and support forensic investigations.

Logging and Alerting Failures continues to hold the #9 position in the OWASP Top 10. The category name has been slightly updated to highlight the importance of alerting, which is essential for triggering timely action based on logged security events. This risk is consistently underrepresented in vulnerability data, as it is difficult to measure and detect through automated means. For the third time, it has been included in the Top 10 based on community survey voting rather than raw vulnerability counts.

Testing for logging and alerting failures is particularly challenging, and as a result, this category has very limited coverage in CVE/CVSS databases, with only 723 recorded CVEs. Despite this low representation, the impact of these failures can be extremely severe, especially in terms of security visibility, incident detection, alerting, and forensic investigations.

This category covers several critical weaknesses, including:

  • Improper output encoding in log files (CWE-117)
  • Logging of sensitive information such as credentials or personal data (CWE-532)
  • Insufficient or missing security-relevant logging (CWE-778)

What does Logging and Alerting mean?

Logging means:

  • Recording important events happening inside an application or system

Examples:

  1. User login attempts
  2. Failed authentication
  3. Password changes
  4. Access to sensitive data
  5. Errors and exceptions
  6. Admin activities

Alerting means:

  • Automatically notifying the security team when something suspicious or dangerous happens

Alerts can be sent via:

  1. Email
  2. SMS
  3. SIEM tools (Splunk, ELK, QRadar, Sentinel)
  4. Security dashboards

What are Logging and Alerting Failures?

Logging & Alerting Failures occur when:

  1. Security-relevant events are not logged
  2. Logs exist but are incomplete or useless
  3. Logs are not monitored
  4. Alerts are missing, delayed, or ignored
  5. Attackers can delete, modify, or disable logs

Why is A09 :Logging and Alerting Failures so dangerous?

Logging & alerting failures do not directly cause attacks, but they make attacks:

  1. Invisible
  2. Undetectable
  3. Long-lasting

This allows attackers to:

  • Stay inside systems for months (persistent threats)
  • Steal data silently
  • Escalate privileges
  • Cover their tracks

Why is A09 still in OWASP Top 10 (2025)?

Despite being known for years:

  1. Many organizations still treat logging as optional
  2. Focus is often on prevention, not detection
  3. Developers prioritize functionality over monitoring
  4. Logs are generated but never reviewed

OWASP keeps A09 because:

  1. Detection & response are critical for modern security
  2. Zero-day attacks cannot always be prevented
  3. Early detection can limit damage

Common Causes of Logging and Alerting Failures

a) Missing Logs

  • Login failures
  • Privilege changes
  • Input validation failures
  • API abuse

b) Insufficient Log Details

  • User ID
  • IP address
  • Timestamp
  • Request ID

Example:

  • “Login failed”
  • “Login failed for user ‘admin’ from IP 192.168.1.10 at 14:32”

c) Logs Not Centralized

  • Local servers
  • Containers
  • Temporary storage

d) No Real-Time Monitoring

  • No SIEM
  • No alerts
  • No one watches dashboards

e) Weak Alerting Rules

  • Alerts trigger too late
  • Alerts trigger only after extreme damage
  • No alert thresholds defined

f) Logs Can Be Tampered With

  • Modify logs
  • Delete Logs
  • Disable logging

Typical Attack Scenarios Enabled by A09

Scenario 1: Brute Force Attack

  • Attackers try thousands of passwords
  • Login failures are not logged or monitored
  • No alert triggered
  • Attackers eventually succeed

Scenario 2: Credential Stuffing

  • Stolen credentials tested via API
  • No rate-limit logs
  • No anomaly detection
  • Massive account takeover goes unnoticed

Scenario 3: Privilege Escalation

  • Attackers gain admin access
  • Admin roles change not logged
  • No alert raised
  • Attacker controls system silently

Scenario 4: Data Exfiltration

  • Sensitive data downloaded repeatedly
  • No access logging
  • No alert on large data transfers
  • Breach detected months later

Impact of Logging and Alerting Failures

Business Impact

  • Delayed breach detection
  • Higher financial losses
  • Regulatory penalties (GDPR, HIPAA, PCI-DSS)
  • Reputation damage
  • Legal consequences

Security Impact

  • No incident timeline
  • No forensic evidence
  • Impossible to know: What was accessed When it happened Who did it

Why Prevention Alone Is Not Enough ?

Modern security assumes: Breaches will happen ,therefore:

  • Logging = visibility
  • Alerting = response
  • Monitoring = survival

Without A09 controls:

  • Even the best firewalls and WAFs fail silently

Real-World Reality

Most organizations:

  • Enable logging only after an incident
  • Store logs for very short time
  • Do not test alerting systems
  • Ignore alerts due to alert fatigue

Attackers know this and:

  • Attack slowly
  • Stay stealthy
  • Avoid obvious errors

Description

When systems lack proper logging, monitoring, and alerting, security attacks and data breaches often go undetected, and even when they are noticed, the absence of effective alerting makes it extremely difficult to respond quickly and appropriately during an incident. Failures in logging, continuous monitoring, threat detection, and alerting typically arise in the following situations:

  • Critical auditable actions—such as user logins, failed authentication attempts, privilege changes, or high-value transactions—are either not recorded at all or logged inconsistently (for example, capturing only successful logins while ignoring failed attempts).
  • System warnings and application errors either produce no log entries or generate messages that are vague, incomplete, or not useful for investigation.
  • Log files are not protected against alteration, allowing attackers to modify, delete, or disable logs without detection.
  • Application and API logs are not actively reviewed or analyzed for signs of malicious or abnormal behavior.
  • Log data is stored only on local systems without proper backup or centralized collection, making it easy to lose evidence during a compromise.
  • Alerting mechanisms and escalation procedures are poorly defined, misconfigured, or ineffective, resulting in alerts that are delayed, ignored, or never reviewed within an acceptable timeframe.
  • Security testing activities, such as penetration testing or scans performed by DAST tools (e.g., Burp Suite or OWASP ZAP), fail to generate any alerts, indicating ineffective detection capabilities.
  • The application lacks the ability to identify, escalate, or notify security teams about active attacks in real time or near real time.
  • The system is exposed to sensitive data leakage by displaying logging or alerting details to users or attackers (related to A01:2025 – Broken Access Control), or by recording confidential information—such as PII or PHI—that should never be logged.
  • The logging or monitoring infrastructure itself becomes vulnerable to injection attacks when log data is not properly encoded or sanitized.
  • Errors and exceptional conditions are incorrectly handled or entirely missed, leaving the system unaware that a failure occurred and preventing the creation of meaningful log records.
  • Alerting use cases designed to identify unusual or high-risk situations that are missing, outdated, or no longer aligned with current threats.
  • An excessive number of false-positive alerts overwhelm security teams, making it difficult to identify genuine threats and causing critical alerts to be noticed too late or not at all (SOC alert fatigue).
  • Even when alerts are detected, they cannot be acted upon effectively because the associated response playbooks are incomplete, outdated, or nonexistent.

Prevention

Developers should implement some or all the following controls, depending on the risk of the application:

  • Ensure all login, access control, and server-side input validation failures can be logged with sufficient user context to identify suspicious or malicious accounts and held for enough time to allow delayed forensic analysis.
  • Ensure that every part of your app that contains a security control is logged, whether it succeeds or fails.
  • Ensure that logs are generated in a format that log management solutions can easily consume.
  • Ensure log data is encoded correctly to prevent injections or attacks on the logging or monitoring systems.
  • Ensure all transactions have an audit trail with integrity controls to prevent tampering or deletion, such as append-only database tables or similar.
  • Ensure all transactions that throw an error are rolled back and started over. Always fail closed.
  • If your application or its users behave suspiciously, issue an alert. Create guidance for your developers on this topic so they can code against this or buy a system for this.
  • DevSecOps and security teams should establish effective monitoring and alerting use cases including playbooks such that suspicious activities are detected and responded to quickly by the Security Operations Center (SOC) team.
  • Add ‘honeytokens’ as traps for attackers into your application e.g. into the database, data, as real and/or technical user identity. As they are not used in normal business, any access generates logging data that can be alerted with nearly no false positives.
  • Behavior analysis and AI support could be optionally an additional technique to support low rates of false positives for alerts.
  • Establish or adopt an incident response and recovery plan, such as National Institute of Standards and Technology (NIST) 800-61r2 or later. Teach your software developers what application attacks and incidents look like, so they can report them.

There are commercial and open-source application protection products such as the OWASP ModSecurity Core Rule Set, and open-source log correlation software, such as the Elasticsearch, Logstash, Kibana (ELK) stack, that feature custom dashboards and alerting that may help you combat these issues. There are also commercial observability tools that can help you respond to or block attacks in close to real-time.

Conclusion

OWASP A09:2025 – Logging and Alerting Failures highlights a critical truth of modern cybersecurity: attacks are not always prevented, but they must always be detected. When logging and alerting mechanisms are weak, incomplete, or ignored, organizations lose visibility into what is happening inside their systems. This lack of visibility allows attackers to operate silently, extend their presence, and amplify damage long before an incident is discovered.

Effective logging provides the evidence needed to understand events, while timely alerting enables rapid response and containment. Together, they form the backbone of incident detection, forensic investigation, and regulatory compliance. As threats grow more sophisticated and stealthy, relying solely on preventive controls is no longer sufficient.

By treating logging, monitoring, and alerting as core security controls—not optional features—organizations can drastically reduce detection time, limit breach impact, and improve overall security resilience. Addressing A09 is not just about compliance with OWASP guidance; it is about ensuring that when something goes wrong, the organization knows it, understands it, and can respond before the damage becomes irreversible.

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