Insertion of Sensitive Information into Log File vulnerability in the cloud membership for clustering component of Apache Tomcat exposed the Kubernetes bearer token. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.20, from 10.1.0-M1 through 10.1.53, from 9.0.13 through 9.0.116. Users are recommended to upgrade to version 11.0.21, 10.1.54 or 9.0.117, which fix the issue.

The affected versions of MongoDB Atlas Kubernetes Operator may print sensitive information like GCP service account keys and API integration secrets while DEBUG mode logging is enabled. This issue affects MongoDB Atlas Kubernetes Operator versions: 1.5.0, 1.6.0, 1.6.1, 1.7.0. Please note that this is reported on an EOL version of the product, and users are advised to upgrade to the latest supported version. Required Configuration:  DEBUG logging is not enabled by default, and must be configured by the end-user. To check the log-level of the Operator, review the flags passed in your deployment configuration (eg. https://github.com/mongodb/mongodb-atlas-kubernetes/blob/main/config/manager/manager.yaml#L27 https://github.com/mongodb/mongodb-atlas-kubernetes/blob/main/config/manager/manager.yaml#L27 )

An information disclosure vulnerability exists in Draytek VigorConnect 1.6.0-B3, allowing an unauthenticated attacker to export system logs.

Some MongoDB Drivers may erroneously publish events containing authentication-related data to a command listener configured by an application. The published events may contain security-sensitive data when specific authentication-related commands are executed. Without due care, an application may inadvertently expose this sensitive information, e.g., by writing it to a log file. This issue only arises if an application enables the command listener feature (this is not enabled by default). This issue affects the MongoDB C Driver 1.0.0 prior to 1.17.7, MongoDB PHP Driver 1.0.0 prior to 1.9.2, MongoDB Swift Driver 1.0.0 prior to 1.1.1, MongoDB Node.js Driver 3.6 prior to 3.6.10, MongoDB Node.js Driver 4.0 prior to 4.17.0 and MongoDB Node.js Driver 5.0 prior to 5.8.0. This issue also affects users of the MongoDB C++ Driver dependent on the C driver 1.0.0 prior to 1.17.7 (C++ driver prior to 3.7.0).

Insertion of sensitive information into log file vulnerability in syslink software AG Avantra on Linux, Windows allows Resource Leak Exposure. This issue affects Avantra: before 25.3.0.

Planning Analytics Cartridge for Cloud Pak for Data 4.0 exposes sensitive information in logs which could lead an attacker to exploit this vulnerability to conduct further attacks. IBM X-Force ID: 247896.

Insertion of Sensitive Information into Log Files in M-Files Server before 22.10.11846.0 could allow to obtain sensitive tokens from logs, if specific configurations were set.

HAX CMS helps manage microsite universe with PHP or NodeJs backends. Prior to 25.0.0, the /server-status endpoint is publicly accessible and exposes sensitive information including authentication tokens (user_token), user activity, client IP addresses, and server configuration details. This allows any unauthenticated user to monitor real-time user interactions and gather internal infrastructure information. This vulnerability is fixed in 25.0.0.

Insertion of Sensitive Information into Log File vulnerability in Oceanic Software ValeApp allows Query System for Information. This issue affects ValeApp: before v2.0.0.

In JetBrains TeamCity version before 2022.10, Password parameters could be exposed in the build log if they contained special characters

Insertion of Sensitive Information into Log File vulnerability in WP 2FA allows Accessing Functionality Not Properly Constrained by ACLs.This issue affects WP 2FA: from n/a through 2.6.3.

RustFS is a distributed object storage system built in Rust. From versions alpha.13 to alpha.81, RustFS logs sensitive credential material (access key, secret key, session token) to application logs at INFO level. This results in credentials being recorded in plaintext in log output, which may be accessible to internal or external log consumers and could lead to compromise of sensitive credentials. This issue has been patched in version alpha.82.

IBM Db2 for Linux, UNIX and Windows 10.5, 11.1, and 11.5 is vulnerable to an Information Disclosure as sensitive information may be included in a log file. IBM X-Force ID: 241677.

RustFS is a distributed object storage system built in Rust. From >= 1.0.0-alpha.1 to 1.0.0-alpha.79, invalid RPC signatures cause the server to log the shared HMAC secret (and expected signature), which exposes the secret to log readers and enables forged RPC calls. In crates/ecstore/src/rpc/http_auth.rs, the invalid signature branch logs sensitive data. This log line includes secret and expected_signature, both derived from the shared HMAC key. Any invalidly signed request triggers this path. The function is reachable from RPC and admin request handlers. This vulnerability is fixed in 1.0.0-alpha.80.

In NOKIA 1350 OMS R14.2, an Insertion of Sensitive Information into an Application Log File vulnerability occurs. The web application stores critical information, such as cleartext user credentials, in world-readable files in the filesystem.

Cloud Foundry UAA Release, versions prior to v74.8.0, logs all query parameters to tomcat’s access file. If the query parameters are used to provide authentication, ie. credentials, then they will be logged as well.

The web server Monkeyd produces a world-readable log (/var/log/monkeyd/master.log) on gentoo.

HashiCorp Consul Template up to 0.27.2, 0.28.2, and 0.29.1 may expose the contents of Vault secrets in the error returned by the *template.Template.Execute method, when given a template using Vault secret contents incorrectly. Fixed in 0.27.3, 0.28.3, and 0.29.2.

An issue was discovered in the GNU C Library (glibc) 2.36. When the syslog function is passed a crafted input string larger than 1024 bytes, it reads uninitialized memory from the heap and prints it to the target log file, potentially revealing a portion of the contents of the heap.

All versions of snyk-broker before 4.73.1 are vulnerable to Information Exposure. It logs private keys if logging level is set to DEBUG.

GitLab has remediated an issue in GitLab EE affecting all versions from 19.1 before 19.1.1 that under certain conditions could have allowed a user to access sensitive information that had already been committed to a project, due to insufficient output filtering in Duo Workflows.

IBM InfoSphere Information Server 11.7 could disclose sensitive user credentials from log files during new installation of the product.

Insertion of Sensitive Information into Log File vulnerability in GSheetConnector CF7 Google Sheets Connector.This issue affects CF7 Google Sheets Connector: from n/a through 5.0.5.

Sensitive information leak through log files. The following products are affected: Acronis Cyber Protect 15 (Linux, Windows) before build 35979.

WAVLINK WN579 X3 M79X3.V5030.191012/M79X3.V5030.191012 contains an information leak which allows attackers to obtain the key information via accessing the messages.txt page.

Screenshot vulnerability in the input module. Successful exploitation of this vulnerability may affect confidentiality.

Brocade SANnav before version 2.1.1 logs account credentials at the ‘trace’ logging level.

Mattermost fails to sanitize post metadata during audit logging resulting in permalinks contents being logged

An issue has been discovered in GitLab EE affecting all versions starting from 14.3 before 16.0.8, all versions starting from 16.1 before 16.1.3, all versions starting from 16.2 before 16.2.2. Access tokens may have been logged when a query was made to a specific endpoint.

Dell PowerScale OneFS, versions 9.0.0 up to and including 9.1.0.20, 9.2.1.13, 9.3.0.6, and 9.4.0.3 , contain an insertion of sensitive information in log files vulnerability. A remote unprivileged attacker could potentially exploit this vulnerability, leading to exposure of this sensitive data.

The OpenVPN Access Server installer creates a log file readable for everyone, which from version 2.10.0 and before 2.11.0 may contain a random generated admin password

In support.c in pam_tacplus 1.3.8 through 1.5.1, the TACACS+ shared secret gets logged via syslog if the DEBUG loglevel and journald are used.

An issue was discovered in GitLab EE affecting all versions starting from 17.0 prior to 17.0.6, starting from 17.1 prior to 17.1.4, and starting from 17.2 prior to 17.2.2, where webhook deletion audit log preserved auth credentials.

A problem with the Palo Alto Networks GlobalProtect app can result in exposure of encrypted user credentials, used for connecting to GlobalProtect, in application logs. Normally, these application logs are only viewable by local users and are included when generating logs for troubleshooting purposes. This means that these encrypted credentials are exposed to recipients of the application logs.

A remote attacker could leverage a vulnerability in Trend Micro Mobile Security (Enterprise) 9.8 SP5 to download a particular log file which may contain sensitive information regarding the product.

Information Exposure Through Log Files vulnerability discovered in Foundry when logs were captured using an underlying library known as Build2. This issue was present in versions earlier than 1.785.0. Upgrade to Build2 version 1.785.0 or greater.

Insertion of Sensitive Information into Log File vulnerability in Searchiq SearchIQ.This issue affects SearchIQ: from n/a through 4.5.

In affected versions of Octopus Server it is possible for target discovery to print certain values marked as sensitive to log files in plaint-text in when verbose logging is enabled.

An issue was discovered in Couchbase Server before 7.0.4. The Backup Service log leaks unredacted usernames and document ids.

TPCMS v3.2 allows attackers to access the ThinkPHP log directory and obtain sensitive information such as the administrator's user name and password.

HashiCorp Terraform Enterprise v202112-1, v202112-2, v202201-1, and v202201-2 were configured to log inbound HTTP requests in a manner that may capture sensitive data. Fixed in v202202-1.

A vulnerability has been identified in SINEMA Remote Connect Server (All versions < V3.1). A customized HTTP POST request could force the application to write the status of a given user to a log file, exposing sensitive user information that could provide valuable guidance to an attacker.

The Jupyter Server provides the backend (i.e. the core services, APIs, and REST endpoints) for Jupyter web applications. Prior to version 1.15.4, unauthorized actors can access sensitive information from server logs. Anytime a 5xx error is triggered, the auth cookie and other header values are recorded in Jupyter Server logs by default. Considering these logs do not require root access, an attacker can monitor these logs, steal sensitive auth/cookie information, and gain access to the Jupyter server. Jupyter Server version 1.15.4 contains a patch for this issue. There are currently no known workarounds.

The CVEProject/cve-services is an open source project used to operate the CVE services api. In versions up to and including 1.1.1 the `org.conroller.js` code would erroneously log user secrets. This has been resolved in commit `46d98f2b` and should be available in subsequent versions of the software. Users of the software are advised to manually apply the `46d98f2b` commit or to update when a new version becomes available. As a workaround users should inspect their logs and remove logged secrets as appropriate.

Information exposure vulnerability in IBERMATICA RPS 2019, which exploitation could allow an unauthenticated user to retrieve sensitive information, such as usernames, IP addresses or SQL queries sent to the application. By accessing the URL /RPS2019Service/status.html, the application enables the logging mechanism by generating the log file, which can be downloaded.

A Cryptographic Issue vulnerability has been found on IBERMATICA RPS, affecting version 2019. By firstly downloading the log file, an attacker could retrieve the SQL query sent to the application in plaint text. This log file contains the password hashes coded with AES-CBC-128 bits algorithm, which can be decrypted with a .NET function, obtaining the username's password in plain text.

The Jupyter notebook is a web-based notebook environment for interactive computing. Prior to version 6.4.9, unauthorized actors can access sensitive information from server logs. Anytime a 5xx error is triggered, the auth cookie and other header values are recorded in Jupyter server logs by default. Considering these logs do not require root access, an attacker can monitor these logs, steal sensitive auth/cookie information, and gain access to the Jupyter server. Jupyter notebook version 6.4.x contains a patch for this issue. There are currently no known workarounds.

Insertion of debug information into log file during building the elastic search index allows reading of sensitive information from articles.This issue affects OTRS: from 7.0.X through 7.0.48, from 8.0.X through 8.0.37, from 2023.X through 2023.1.1.

Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes, and Spinnaker's Rosco microservice produces machine images. Rosco prior to versions 1.29.2, 1.28.4, and 1.27.3 does not property mask secrets generated via packer builds. This can lead to exposure of sensitive AWS credentials in packer log files. Versions 1.29.2, 1.28.4, and 1.27.3 of Rosco contain fixes for this issue. A workaround is available. It's recommended to use short lived credentials via role assumption and IAM profiles. Additionally, credentials can be set in `/home/spinnaker/.aws/credentials` and `/home/spinnaker/.aws/config` as a volume mount for Rosco pods vs. setting credentials in roscos bake config properties. Last even with those it's recommend to use IAM Roles vs. long lived credentials. This drastically mitigates the risk of credentials exposure. If users have used static credentials, it's recommended to purge any bake logs for AWS, evaluate whether AWS_ACCESS_KEY, SECRET_KEY and/or other sensitive data has been introduced in log files and bake job logs. Then, rotate these credentials and evaluate potential improper use of those credentials.

The web server on the Digital Alert Systems DASDEC EAS device before 2.0-2 and the Monroe Electronics R189 One-Net EAS device before 2.0-2 allows remote attackers to obtain sensitive configuration and status information by reading log files.