CVE Vulnerability Catalog

GnuTLS v3.8.13 may unexpectedly trust a certificate based on Common Name when Subject Alternative Name contains an SRV otherName (1.3.6.1.5.5.7.8.7) with an OCTET STRING value. The supplier does not consider this an actionable vulnerability due to its threat model.

The 'github.com/moby/sys/user' package provides Go utilities for parsing and looking up entries in Unix-style user and group database files. Versions before 0.4.1 do not sufficiently limit entries when parsing '/etc/passwd'- or '/etc/group'-style files, allowing an attacker who can supply a specially crafted file to cause excessive memory consumption and potentially terminate the affected process due to an out-of-memory condition.

A policy-enforcement flaw in Zimbra Collaboration Suite allows an authenticated user to bypass disabled mail forwarding by using a Sieve notify action to send copies of email content and headers to an arbitrary address.

An authorization bypass in the EWS FindItem handler of Zimbra Collaboration Suite 10.1.0 through 10.1.19 allows an authenticated user with EWS enabled to read complete mailbox items, including raw MIME and attachments, from arbitrary local accounts without a share or delegation grant.

msgpack5 is a msgpack v5 implementation for node.js and the browser. Prior to 6.1.0, constructing msgpack5 with an empty or partial options object disables the default protoAction: 'error' protection. A decoded map containing a __proto__ key can then replace the decoded object's prototype, potentially changing inherited properties or downstream behavior, although Object.prototype is not modified globally.

msgpack5 before 6.1.0 treats the reserved byte 0xc1 as incomplete input instead of invalid. When a stream begins with 0xc1, subsequent data remains buffered while waiting for bytes that cannot make the value valid, allowing a remote peer to exhaust memory.

msgpack5 before 6.1.0 has no nesting-depth limit for arrays and maps, allowing an attacker who can provide MessagePack input to submit deeply nested containers that exhaust the JavaScript call stack and interrupt a process, worker, or request handler.

In msgpack5 before 6.1.0, the streaming decoder reparses an incomplete array or map from the beginning whenever another chunk arrives. A remote peer can split one valid MessagePack container across many small chunks, causing completed elements to be decoded repeatedly, producing quadratic CPU use and blocking the event loop.

Pydantic AI from 1.77.0 until 1.107.2 and from 2.24.0 until 2.24.0? Actually: 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.

Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 0.3.4 until 1.107.4 and 2.27.1, OpenTelemetry instrumentation configured with InstrumentationSettings(include_content=False) can export retry prompts outside tool calls in gen_ai.input.messages and pydantic_ai.all_messages. Agents using NativeOutput, PromptedOutput, or output validators on text output can therefore disclose validation feedback, including invalid model values quoted by that feedback, to readers of the telemetry backend. Tool-call retries and deployments that do not use include_content=False are not affected by this specific path. This issue is fixed in versions 1.107.4 and 2.27.1.

Pydantic AI from 1.34.0 until 1.107.5 and from 2.24.0 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.

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.

Pydantic AI from 1.77.0 until 1.107.6 and from 2.24.0 until 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.

HashiCorp go-getter versions before 1.8.10 and go-getter/v2 versions before 2.2.5 are vulnerable to path traversal during S3 and GCS directory downloads, which may allow files to be written outside the requested destination.

FFmpeg through 9.0.2 contains a stack exhaustion vulnerability in av_encryption_init_info_free() in libavutil/encryption_info.c, which recursively frees AVEncryptionInitInfo linked lists built by the MOV demuxer's mov_read_pssh(). Attackers can supply a crafted MP4 file with tens of thousands of small pssh boxes to exhaust the stack and crash the process, while also causing quadratic CPU consumption.

FFmpeg through 9.0.2 has an infinite loop in the DASH demuxer that allows attackers to trigger an infinite loop by supplying an empty SegmentTemplate media URL. Attackers can craft an .mpd manifest declaring SegmentTemplate media="" so get_current_fragment() calls av_strireplace() with an empty search string, consuming CPU indefinitely.

FFmpeg through 9.0.2 lacks host key verification in the libssh-based sftp protocol handler, allowing network attackers to impersonate SFTP servers. Attackers performing man-in-the-middle, DNS, or ARP spoofing can capture passwords supplied in sftp URLs, serve forged media, or receive uploaded output.

FFmpeg before 8.1.3 and 9.x before 9.0.2 contains an improper certificate validation vulnerability in tls_open() of libavformat/tls_mbedtls.c, which skips hostname checks for IP-address hosts. Network attackers can intercept https, rtmps, or tls connections to IP-literal URLs with any trusted CA-issued certificate to read and tamper with streams.

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 1.107.7 and 2.52.0, the local web_fetch_tool and the WebFetch local fallback can consume excessive CPU and memory during HTML-to-Markdown conversion of attacker-controlled HTML containing deeply nested block elements. Conversion repeatedly reprocesses accumulated text and can greatly expand intermediate output before the returned-content limit is applied, allowing a model-directed fetch to delay other work in the process. Provider-native web fetching is not affected. This issue is fixed in versions 1.107.7 and 2.52.0.