CWE-778 Base Draft Medium likelihood

Insufficient Logging

This weakness occurs when an application fails to properly record important security events or captures them with insufficient detail, making it hard to spot and investigate suspicious activity.

Definition

What is CWE-778?

This weakness occurs when an application fails to properly record important security events or captures them with insufficient detail, making it hard to spot and investigate suspicious activity.
Insufficient logging creates blind spots for security teams. When critical events—like failed logins, privilege escalations, or data access—aren't logged with enough detail, detecting attacks in progress becomes nearly impossible. This also severely hampers post-incident forensic analysis, leaving you without the evidence needed to understand how a breach happened or what data was affected. Modern cloud environments often introduce this risk through misconfiguration. Cloud services frequently have detailed logging disabled by default to manage costs and performance. If developers don't explicitly enable and configure audit logs for services like storage buckets, databases, or identity management, critical telemetry gaps appear. These gaps in your security logs can allow malicious activity to go completely unnoticed.
Real-world impact

Real-world CVEs caused by CWE-778

  • server does not log failed authentication attempts, making it easier for attackers to perform brute force password guessing without being detected

  • admin interface does not log failed authentication attempts, making it easier for attackers to perform brute force password guessing without being detected

  • default configuration for POP server does not log source IP or username for login attempts

  • proxy does not log requests without "http://" in the URL, allowing web surfers to access restricted web content without detection

  • web server does not log requests for a non-standard request type

How attackers exploit it

Step-by-step attacker path

  1. 1

    The example below shows a configuration for the service security audit feature in the Windows Communication Foundation (WCF).

  2. 2

    The previous configuration file has effectively disabled the recording of security-critical events, which would force the administrator to look to other sources during debug or recovery efforts.

  3. 3

    Logging failed authentication attempts can warn administrators of potential brute force attacks. Similarly, logging successful authentication events can provide a useful audit trail when a legitimate account is compromised. The following configuration shows appropriate settings, assuming that the site does not have excessive traffic, which could fill the logs if there are a large number of success or failure events (CWE-779).

  4. 4

    In the following Java example the code attempts to authenticate the user. If the login fails a retry is made. Proper restrictions on the number of login attempts are of course part of the retry functionality. Unfortunately, the failed login is not recorded and there would be no record of an adversary attempting to brute force the program.

  5. 5

    It is recommended to log the failed login action. Note that unneutralized usernames should not be part of the log message, and passwords should never be part of the log message.

Vulnerable code example

Vulnerable XML

The example below shows a configuration for the service security audit feature in the Windows Communication Foundation (WCF).

Vulnerable XML
<system.serviceModel>
  	<behaviors>
  		<serviceBehaviors>
  			<behavior name="NewBehavior">
  				<serviceSecurityAudit auditLogLocation="Default"
  				suppressAuditFailure="false"
  				serviceAuthorizationAuditLevel="None"
  				messageAuthenticationAuditLevel="None" />
  			...
  </system.serviceModel>
Secure code example

Secure XML

Logging failed authentication attempts can warn administrators of potential brute force attacks. Similarly, logging successful authentication events can provide a useful audit trail when a legitimate account is compromised. The following configuration shows appropriate settings, assuming that the site does not have excessive traffic, which could fill the logs if there are a large number of success or failure events (CWE-779).

Secure XML
<system.serviceModel>
  	<behaviors>
  		<serviceBehaviors>
  			<behavior name="NewBehavior">
  				<serviceSecurityAudit auditLogLocation="Default"
  				suppressAuditFailure="false"
  				serviceAuthorizationAuditLevel="SuccessAndFailure"
  				messageAuthenticationAuditLevel="SuccessAndFailure" />
  			 ...
  </system.serviceModel>
What changed: the unsafe sink is replaced (or the input is validated/escaped) so the same payload no longer triggers the weakness.
Prevention checklist

How to prevent CWE-778

  • Architecture and Design Use a centralized logging mechanism that supports multiple levels of detail.
  • Implementation Ensure that all security-related successes and failures can be logged. When storing data in the cloud (e.g., AWS S3 buckets, Azure blobs, Google Cloud Storage, etc.), use the provider's controls to enable and capture detailed logging information.
  • Operation Be sure to set the level of logging appropriately in a production environment. Sufficient data should be logged to enable system administrators to detect attacks, diagnose errors, and recover from attacks. At the same time, logging too much data (CWE-779) can cause the same problems, including unexpected costs when using a cloud environment.
  • Operation To enable storage logging using Azure's Portal, navigate to the name of the Storage Account, locate Monitoring (CLASSIC) section, and select Diagnostic settings (classic). For each of the various properties (blob, file, table, queue), ensure the status is properly set for the desired logging data. If using PowerShell, the Set-AzStorageServiceLoggingProperty command could be called using appropriate -ServiceType, -LoggingOperations, and -RetentionDays arguments.
Detection signals

How to detect CWE-778

Automated Static Analysis High

Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.)

CWE-778

Don't catalog this weakness. Prove it's reachable.

Plexicus turns CWE catalogs into evidence: every CWE-pattern is matched against your real code graph, reach is proven on a sandbox clone, and verified findings ship as reviewed PRs.

Frequently asked questions

Frequently asked questions

What is CWE-778?

This weakness occurs when an application fails to properly record important security events or captures them with insufficient detail, making it hard to spot and investigate suspicious activity.

How serious is CWE-778?

MITRE rates the likelihood of exploit as Medium — exploitation is realistic but typically requires specific conditions.

What languages or platforms are affected by CWE-778?

MITRE lists the following affected platforms: Cloud Computing.

How can I prevent CWE-778?

Use a centralized logging mechanism that supports multiple levels of detail. Ensure that all security-related successes and failures can be logged. When storing data in the cloud (e.g., AWS S3 buckets, Azure blobs, Google Cloud Storage, etc.), use the provider's controls to enable and capture detailed logging information.

How does Plexicus detect and fix CWE-778?

Plexicus's SAST engine matches the data-flow signature for CWE-778 on every commit. When a match is found, our Codex Remedium agent opens a fix PR with the corrected code, tests, and a one-line summary for the reviewer.

Where can I learn more about CWE-778?

MITRE publishes the canonical definition at https://cwe.mitre.org/data/definitions/778.html. You can also reference OWASP and NIST documentation for adjacent guidance.

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SAMPLE HANDOVER · ILLUSTRATIVE

Sample evidence handover

A trimmed view of what your team receives at the end of an AI Swarm Pentest engagement. Real engagements include full technical evidence, executive narrative, and a remediation plan.

VALIDATED FINDING Evidence attached

Server-Side Request Forgery in webhooks/receiver

demo-project/sample-app · src/webhooks/receiver.py:42

SeverityHigh CVSS 3.18.6 Priority79 Confirmedvia replay

Untrusted caller-supplied URLs reach an internal egress without an allowlist. Replayed in a sandbox against a fresh authorised target — the same control was validated to fail twice.

REVIEWER-READY REMEDIATION Merge-ready PR

Validate the target URL against an allowlist of permitted hostnames. Reject private/internal IP ranges. Enforce HTTPS only.

plexicus/remediation/webhooks-ssrf 3 changed · 0 new files
42resp = requests.get(target_url)
42+if not is_allowed_host(target_url):
43+  raise WebhookRejected(target_url)
44+resp = requests.get(target_url, timeout=5)
Every engagement hands over:
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  • Validated findings list
  • Merge-ready PRs
  • Compliance mapping (NIS2 · DORA · CRA)