| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| OpenTelemetry-Go is the Go implementation of OpenTelemetry. From version 1.5.0 to 1.44.0, sdk/trace.NewTracerProvider emits a TracerProvider created internal Info-level diagnostic event whose MarshalLog implementations recursively include span processor, exporter, and client configuration. Applications that call otel.SetLogger to enable OpenTelemetry internal Info logging can therefore record OTLP gRPC and HTTP collector endpoints, the OTLP HTTP Insecure flag, and complete Zipkin collector URLs. A person or system with access to those logs can learn internal collector topology and can recover credentials or tokens embedded in Zipkin URL user information or query strings. The default OpenTelemetry logger does not emit the event, and this path does not log OTLP authentication headers, TLS key material, or span payloads. This issue is fixed in version 1.45.0. |
| Jupyter Server is the backend for Jupyter web applications. Prior to version 2.21.0, the 5xx request logging path in jupyter_server/log.py copies the Referer header into a JSON header block without applying the token scrubbing used for the request URI. A request that returns HTTP 500 while the Referer contains a token-bearing URL can therefore write that token to server logs in plaintext. An attacker who can read those logs can recover the token and use the affected user's Jupyter Server permissions. This issue is fixed in version 2.21.0. |
| If logging mode is set to DEBUG or a malformed MongoDB connection string is used, application logs may collect sensitive information (if in use) such as passwords and AWS secure access keys. |
| Insertion of Sensitive Information into Log File vulnerability in team-alembic AshAuthentication allows disclosure of user password digests to readers of the audit store.
The audit_log add-on builds each entry's extra_data in AshAuthentication.AddOn.AuditLog.Auditor.build_extra_data/4, which takes :actor from the action callback context verbatim. Any audited action invoked with actor: set to a user record therefore deposits that record, including its hashed_password attribute, into the audit entry. The same module already collapses the audited identity to an opaque string via AshAuthentication.user_to_subject/1 and filters params against the strategy's configured allow-list, so the actor is the only stored value that reaches the audit store unfiltered. Marking the attribute sensitive?: true does not help, because that redacts inspect/1 output rather than JSON encoding or raw-term storage.
There is no attacker-controlled trigger and no network disclosure path: entries accumulate from ordinary authenticated activity, and an attacker's own requests deposit only their own digest. Exploitation requires independent read access to the audit store, such as database credentials, an audit role, a backup, or a log shipper, at which point the digests support offline password attack against every active account. Whether the material persists depends on the data layer, since raw-term stores keep it verbatim while a SQL store raises Protocol.UndefinedError and drops the entry unless the user resource derives Jason.Encoder.
This issue affects ash_authentication: from 4.12.0 before 4.15.0 and from 5.0.0-rc.0 before 5.0.0-rc.2. |
| A flaw was found in hawtio-operator. When a custom Route TLS secret is configured and the operator runs at debug log level 1 or higher, the entire Route object — including the TLS private key in PEM format — is serialized to JSON and written to the operator's standard output. Operator logs are typically forwarded to centralized logging systems and readable by anyone with pods/log access in the openshift-operators namespace. Debug level 1 is a low threshold commonly enabled during troubleshooting. |
| Under certain circumstances on affected platforms running Arista EOS with gRPC Network Packet Sampling Interface (gNPSI) enabled, the gNPSI client credentials might be logged in clear text in local or remote accounting logs to authenticated users. |
| On affected platforms running Arista EOS with VRRP enabled, the peer device VRRP authentication credentials are logged in cleartext on the switch, allowing an authenticated user with sufficient privileges to view agent trace logs (or a system receiving forwarded log output) to obtain the peer device VRRP authentication credentials without having access to the network segment on which VRRP is running. |
| A flaw was found in Ansible, where sensitive information stored in Ansible Vault files can be exposed in plaintext during the execution of a playbook. This occurs when using tasks such as include_vars to load vaulted variables without setting the no_log: true parameter, resulting in sensitive data being printed in the playbook output or logs. This can lead to the unintentional disclosure of secrets like passwords or API keys, compromising security and potentially allowing unauthorized access or actions. |
| In JetBrains IntelliJ IDEA before 2026.1.5 git credentials were written in plaintext to the IDE log |
| A logging issue was addressed with improved data redaction. This issue is fixed in macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7. An app may be able to access user-sensitive data. |
| A logging issue was addressed with improved data redaction. This issue is fixed in iOS 27 and iPadOS 27, macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7, tvOS 27, visionOS 27, watchOS 27. An app may be able to access sensitive user data. |
| A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in iOS 26.7 and iPadOS 26.7, iOS 27 and iPadOS 27, macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7, tvOS 27, visionOS 27, watchOS 27. A malicious application may be able to determine a user's current location. |
| admin3 through 3.0.0 persists user session tokens in the audit log event body when publishing UserLoggedIn domain events. Attackers with log:view permission can read the JSON response from the GET /logs endpoint to harvest session tokens and replay them as bearer credentials for full user access. |
| On affected platforms running Arista EOS, under certain circumstances plaintext private keys may be written in clear text to log files during operations when specialized non-standard debugging trace levels are explicitly enabled.
To exploit these vulnerabilities, a malicious actor must already possess authenticated local administrative access to the device shell, and specialized non-standard debugging trace levels must be explicitly enabled.
This issue was discovered internally by Arista, and the company is not aware of any malicious exploitation of this vulnerability in customer networks. |
| Insertion of sensitive information into log file in Windows Program Compatibility Assistant Service allows an authorized attacker to disclose information locally. |
| n8n before 1.123.73, 2.35.4, and 2.36.2 contains a credential exposure vulnerability in the Strapi, SeaTable, and Mailcheck nodes. These nodes send their decrypted credentials to the authentication endpoint via the raw legacy HTTP helper outside any error handling, causing the plaintext secret to be persisted in execution error data. Any authenticated user can read the plaintext secret from their own execution through the REST API, bypassing the blank-value redaction enforced by the credentials API. |
| Insertion of sensitive information into log file in the slow query logging feature in Devolutions PowerShell Universal 2026.2.5 and earlier allows an authenticated user with log read permission to obtain application tokens, data protection key material and other stored credentials via SQL parameter values written to the system log on instances backed by Microsoft SQL Server. |
| On affected platforms running Arista EOS, under certain circumstances plaintext shared secrets for configured Terminal Access Controller Access-Control System Plus (TACACS+) servers |
| On affected platforms running Arista EOS, under certain circumstances user passwordss may be written in clear text to log files during operations when specialized non-standard debugging trace levels are explicitly enabled.
To exploit these vulnerabilities, a malicious actor must already possess authenticated local administrative access to the device shell, and specialized non-standard debugging trace levels must be explicitly enabled.
This issue was discovered internally by Arista, and the company is not aware of any malicious exploitation of this vulnerability in customer networks. |
| hashi-vault-js is a Node.js module for interacting with the HashiCorp Vault API. Prior to 0.5.2, every API method in src/Vault.js passes failed requests through parseAxiosError(), which rethrows the raw AxiosError while retaining AxiosError.config and the equivalent response configuration. These objects can contain the X-Vault-Token request header and err.config.data request body, including submitted passwords or secret values. When a consuming application records the caught exception through console logging, structured loggers, monitoring, crash reporting, or an application performance monitoring service, the live Vault token and request secrets can be stored in plaintext and exposed to anyone with access to that output. A stolen token can permit unauthorized access to the Vault instance under the token's policies. This issue is fixed in version 0.5.2. |