| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| pgjdbc, the PostgreSQL JDBC Driver, versions 42.7.4 through 42.7.13 pads a value that is shorter than its declared length with bytes left in its send buffer instead of zeros, and the server stores those bytes as part of the value. The bytes are messages the driver sent earlier on the same connection: SQL text and parameter values of recent statements, which on a pooled connection can come from other requests. Each padded value can carry up to 8192 bytes of this traffic, or 16320 bytes on a connection with GSS encryption. The padding happens when an application declares a length larger than the data it supplies, through PreparedStatement.setObject with a ByteStreamWriter, CopyIn.writeToCopy, PGCopyOutputStream.write, LargeObject.write, or Blob.setBytes. The driver accepts these calls without an error. An attacker who can make the application store such a value and read it back can collect earlier traffic. Applications whose declared lengths always match their data are not affected. Versions 42.7.3 and earlier pad with zeros. |
| pgjdbc, the PostgreSQL JDBC Driver, versions 42.7.11 through 42.7.13 enforce no restriction when the requireAuth connection property excludes all six authentication methods the driver knows, for example requireAuth=!password,!md5,!gss,!sspi,!scram-sha-256,!none. The driver then accepts any method the server asks for, including cleartext password authentication. A value without a method in it, such as requireAuth=, (a single comma), is affected the same way. An attacker positioned between the application and its server can ask for cleartext password authentication and receive the database password. A positive list such as requireAuth=scram-sha-256, and a partial exclusion such as requireAuth=!password,!md5, are enforced correctly. The property has no default value, so a deployment that does not set it is not affected. 42.7.14 fixes the problem: such a connection is refused with SQLState 08004, and a value without a method in it is rejected as invalid. |
| music-metadata is a metadata parser for audio and video media files. Prior to 11.15.0, the DSF parser handles an unrecognized chunk by calling tokenizer.ignore without awaiting the returned promise and without first rejecting a chunk size smaller than the 12-byte chunk header. A crafted DSF input can produce a negative ignore length; with strtok3 10.3.5 or later, the resulting RangeError is detached from the parseBuffer promise and becomes an unhandled rejection under Node.js default behavior. The parse call can appear to resolve before the process crashes, bypassing per-parse try/catch handling. The demonstrated impact is availability loss only and requires the DSF parsing path. This issue is fixed in version 11.15.0. |
| Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 0.3.4 until 1.107.6 and 2.44.0, OpenTelemetry instrumentation configured with InstrumentationSettings(include_content=False) can still export sensitive agent content through exception.message and exception.stacktrace events, error status descriptions, and model_request_parameters containing instructions or the prompted_output_template. The exposed data is available to readers of the configured telemetry backend and can include tool feedback, provider error bodies, runtime instructions, and structured-output templates even though message attributes are redacted. This issue does not grant new access to agent data, and deployments that do not use include_content=False are not affected by the setting bypass. This issue is fixed in versions 1.107.6 and 2.44.0. |
| A flaw was found in sg3_utils. The sg_inq command, when invoked with the --export option, outputs device identification data without sanitizing control characters in SCSI name string fields. A newline character embedded in a device-supplied name string can inject arbitrary properties into the udev device database. This could allow an attacker who can present a crafted SCSI device to execute arbitrary commands as root when the device is disconnected. |
| A flaw was found in SSSD's LDAP sudo provider. When the ldap_sudo_search_base option is not explicitly configured, SSSD searches the entire LDAP directory tree for sudoRole objects. An authenticated attacker with write access to any subtree can inject a sudoRole object granting root-level sudo privileges on all SSSD-enrolled hosts. |
| A flaw was found in Samba’s handling of NTFS-style reparse points on shares configured with read only = yes. Due to missing SMB-layer access checks, authenticated users with underlying filesystem write permissions may create or delete reparse point metadata through SMB operations even on read-only exports. This could allow modification of SMB-visible file behavior, including converting files into symbolic links or other reparse point types. |
| Dell SmartFabric Manager, versions prior to 2.2.1, contains an Insufficient Verification of Data Authenticity vulnerability. A low privileged attacker with remote access could potentially exploit this vulnerability, leading to Elevation of privileges. |
| Dell SmartFabric Manager, versions prior to 2.2.1, contains an Improper Handling of Insufficient Permissions or Privileges vulnerability. A low privileged attacker with remote access could potentially exploit this vulnerability, leading to Information disclosure. |
| HCL BigFix Service Management is affected by SQL Injection flaw and a Cross-Tenant Data Exposure flaw vulnerabilities. which could allow an authenticated attacker to inject database commands to extract sensitive system details, as well as manipulate request values to gain unauthorized access to full personal profile data and PII across different organizations. |
| HCL BigFix Service Management is affected by a Server-Side Request Forgery (SSRF) vulnerability in its search functionality, which could allow an attacker to force the application server to send requests to internal systems that are not accessible from the internet. |
| Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.34.0 until 1.107.4 and 2.28.0, the Agent.to_web() and clai web development chat endpoint has missing request content-type validation. A website visited by a developer can submit a browser-compatible request to a loopback-hosted chat server, causing the served agent to run and execute tools with the privileges and credentials of the local process; client-relayed approval decisions also leave requires_approval=True tools exposed. Binding to localhost does not prevent a browser page from reaching the loopback address. This issue is fixed in versions 1.107.4 and 2.28.0. |
| Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.2 and 2.24.0, web_fetch_tool, the WebFetch local fallback, and remote FileUrl media downloads buffer the complete HTTP response body before enforcing content-size controls. An attacker-influenced URL can stream an arbitrarily large response that exhausts process memory and crashes the worker; affected media types include ImageUrl, DocumentUrl, VideoUrl, and AudioUrl. SSRF protections remain effective, and the impact is limited to availability. This issue is fixed in versions 1.107.2 and 2.24.0. |
| Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.56.0 until 1.107.6 and 2.44.0, applications that opt attacker-influenced URLs into local network access through FileUrl with force_download='allow-local' or web_fetch_tool with allow_local_urls=True can bypass the cloud-metadata blocklist by appending an IPv6 zone identifier to an IPv6 metadata address. IPv6Address equality and hashing include the zone identifier, so the blocklist comparison fails even though the network stack ignores the zone on a non-link-local destination and reaches the metadata service, potentially exposing cloud IAM credentials. The opt-in settings are disabled by default, and the issue requires an IPv6-enabled environment. This issue is fixed in versions 1.107.6 and 2.44.0. |
| Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback compare blocked_domains entries with a URL hostname before both values are normalized to the form used by getaddrinfo. An attacker-influenced model can use an equivalent IDNA spelling, non-ASCII label separator, case variation, or trailing root label that resolves to a blocked host but does not match the configured string, causing the application to fetch that host with its own privileges. allowed_domains fails closed for unmatched spellings, and private-IP and cloud-metadata protections remain effective. This issue is fixed in versions 1.107.6 and 2.44.0. |
| Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 2.10.0 until 2.53.0, streamed requests made through ConcurrencyLimitedModel or limit_model_concurrency can retain shared concurrency slots because anyio.CapacityLimiter associates an acquired slot with the borrowing task while streaming cleanup can run in a different task. Early stream termination, cancellation, consumer exceptions, or complete stream_text() consumption with debounce_by=0.1 can therefore leave capacity occupied, eventually preventing later requests that share the long-lived limiter from proceeding and causing a denial of service. Agent-level max_concurrency and non-streaming model requests are not affected. This issue is fixed in version 2.53.0. |
| Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.34.0 until 2.30.0, the Agent.to_web() and clai web development chat server does not validate the Host header, allowing a website visited by a developer to use DNS rebinding to reach a loopback-hosted agent as a same-origin service. The hostile page can read the served UI and submit chat requests that execute agent tools with the local process's privileges and credentials, causing data disclosure or unwanted side effects. Binding to localhost, Origin checks, and CSRF tokens do not prevent the same-origin DNS rebinding path. This issue is fixed in versions 1.107.5 and 2.30.0. |
| Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback process server-controlled responses with quadratic title extraction, whitespace normalization, and ordered-list numbering. An attacker-controlled page of modest size can therefore block the event loop for an extended period, stalling other agent runs and requests, while unsupported codecs or excessive HTML or JSON nesting can abort an individual run. This issue is fixed in versions 1.107.6 and 2.44.0. |
| HCL BigFix Service Management is affected by a high-severity Broken Access Control vulnerability, which could allow a low-privileged user to gain unauthorized access to administrative screens and functions reserved for higher-privileged roles. |
| HCL BigFix Service Management is affected by Cross-Site Scripting (XSS) vulnerability, which could allow an attacker to inject unsanitized malicious scripts that execute in a victim's browser, enabling session hijacking, account takeover, and unauthorized actions on behalf of affected users. |
