Insertion of Sensitive Information into Log File

The vulnerability, if exploited, could allow an attacker with Event Log Reader (S-1-5-32-573) privileges to obtain proxy details, including URL and proxy credentials, from the PI to CONNECT event log files. This could enable unauthorized access to the proxy server.Show less

unity-cli is a command line utility for the Unity Game Engine. Prior to 1.8.2 , the sign-package command in @rage-against-the-pixel/unity-cli logs sensitive credentials in plaintext when the --verbose flag is used. Command-line arguments including --email and --password are output via JSON.stringify without sanitization, exposing secrets to shell history, CI/CD logs, and log aggregation systems. This vulnerability is fixed in 1.8.2.Show less

AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. Prior to autogpt-platform-beta-v0.6.46, the AutoGPT platform's Stagehand integration blocks log API keys and authentication secrets in plaintext using logger.info() statements. This occurs in three separate block implementations (StagehandObserveBlock, StagehandActBlock, and StagehandExtractBlock) where the code explicitly calls api_key.get_secret_value() and logs the result. This issue has been patched in autogpt-platform-beta-v0.6.46.Show less

Neo4j Enterprise and Community editions versions prior to 2026.01.3 and 5.26.21 are vulnerable to a potential information disclosure by a user who has ability to access the local log files. The "obfuscate_literals" option in the query logs does not redact error information, exposing unredacted data in the query log when a customer writes a query that fails. It can allow a user with legitimate access to the local log files to obtain information they are not authorised to see. If this user is also in a position to run queries and trigger errors, this vulnerability can potentially help them to infer information they are not authorised to see through their intended database access. We recommend upgrading to versions 2026.01.3 (or 5.26.21) where the issue is fixed, and reviewing query log files permissions to ensure restricted access. If your configuration had db.logs.query.obfuscate_literals enabled, and you wish the obfuscation to cover the error messages as well, you need to enable the new configuration setting db.logs.query.obfuscate_errors once you have upgraded Neo4j.Show less

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.Show less

vLLM is an inference and serving engine for large language models (LLMs). From 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multimodal endpoint, PIL throws an error. vLLM returns this error to the client, leaking a heap address. With this leak, we reduce ASLR from 4 billion guesses to ~8 guesses. This vulnerability can be chained a heap overflow with JPEG2000 decoder in OpenCV/FFmpeg to achieve remote code execution. This vulnerability is fixed in 0.14.1.Show less

An Insertion of Sensitive Information into Log File vulnerability in B&R PVI client versions prior to 6.5 may be abused by an authenticated local attacker to gather credential information which is processed by the PVI client application. The logging function of the PVI client application is disabled by default and must be explicitly enabled by the user.Show less

A vulnerability. When org.apache.linkis.metadata.util.HiveUtils.decode() fails to perform Base64 decoding, it records the complete input parameter string in the log via logger.error(str + "decode failed", e). If the input parameter contains sensitive information such as Hive Metastore keys, plaintext passwords will be left in the log files when decoding fails, resulting in information leakage. Affected Scope Component: Sensitive fields in hive-site.xml (e.g., javax.jdo.option.ConnectionPassword) or other fields encoded in Base64. Version: Apache Linkis 1.0.0 – 1.7.0 Trigger Conditions The value of the configuration item is an invalid Base64 string. Log files are readable by users other than hive-site.xml administrators. Severity: Low The probability of Base64 decoding failure is low. The leakage is only triggered when logs at the Error level are exposed. Remediation Apache Linkis 1.8.0 and later versions have replaced the log with desensitized content. logger.error("URL decode failed: {}", e.getMessage()); // 不再输出 str Users are recommended to upgrade to version 1.8.0, which fixes the issue.Show less

In Secure Access 12.70 and prior to 14.20, the logging subsystem may write an unredacted authentication token to logs under certain configurations. Any party with access to those logs could read the token and reuse it to access an integrated system.Show less

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.Show less

In Apache Airflow versions before 3.1.6, and 2.11.1 the proxies and proxy fields within a Connection may include proxy URLs containing embedded authentication information. These fields were not treated as sensitive by default and therefore were not automatically masked in log output. As a result, when such connections are rendered or printed to logs, proxy credentials embedded in these fields could be exposed. Users are recommended to upgrade to 3.1.6 or later for Airflow 3, and 2.11.1 or later for Airflow 2 which fixes this issueShow less