PyJWT is a JSON Web Token implementation in Python. Prior to 2.13.0, PyJWKClient.get_signing_key() forces a fresh HTTP request to the JWKS endpoint for every JWT with an unknown kid value, with no rate limiting. Since kid comes from the unverified token header, an attacker can trigger unlimited outbound requests. The vulnerability surfaces only when a JWKS fetch fails; an attacker can attempt to provoke that with sustained unknown-kid traffic, but the outcome depends on upstream JWKS-endpoint behavior (rate limiting, transient errors) which is beyond the attacker's control. This vulnerability is fixed in 2.13.0.
PyJWT is a JSON Web Token implementation in Python. From 2.8.0 to 2.12.1, when verifying detached JWS tokens using the unencoded-payload option ("b64": false, RFC 7797), PyJWT performs Base64URL decoding of the compact-serialization payload segment before enforcing the detached-payload rules. For b64=false, PyJWT later discards that decoded payload and replaces it with the caller-provided detached_payload. In practice, this turns the middle segment into an attacker-controlled “work amplifier”: a remote client can supply an arbitrarily large Base64URL payload segment that forces CPU work + memory allocations even if the signature is invalid. This creates an unauthenticated DoS vector against any endpoint that verifies detached JWS using PyJWT. This vulnerability is fixed in 2.13.0.
PyJWT is a JSON Web Token implementation in Python. Prior to 2.13.0, when the verifier is decoding JSON Web Tokens, while supporting both asymmetric and HMAC algorithms, the library does not validate use of JSON Web Keys in HMAC algorithm, allowing attacker to use the issuer public key as the secret key for HMAC algorithm. This vulnerability is fixed in 2.13.0.
pypdf is a free and open-source pure-python PDF library. Prior to 6.12.1, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing large XMP metadata, possibly with lots of unnecessary elements. This vulnerability is fixed in 6.12.1.
TinyMCE is an open source rich text editor. Prior to 5.11.1, 7.9.3, and 8.5.1, there is a stored XSS vulnerability via unsanitized data-mce-* attributes (data-mce-href, data-mce-src, data-mce-style). Allows attackers to inject malicious values that override safe attributes during serialization, bypassing validation. This vulnerability is fixed in 5.11.1, 7.9.3, and 8.5.1.
TinyMCE is an open source rich text editor. From 6.8.0 to before 7.1.0, TinyMCE contains an XSS vulnerability caused by improper SVG namespace scope handling in the sanitizer. A crafted payload using nested elements can bypass attribute sanitization and execute arbitrary JavaScript. This vulnerability is fixed in 7.1.0.
TinyMCE is an open source rich text editor. Prior to 5.11.1, 7.9.3, and 8.5.1, there is a stored XSS vulnerability in the media plugin. Attackers can inject malicious scripts via crafted data-mce-* attributes, which are executed when content is rendered. Impacts users of TinyMCE with the media plugin enabled. This vulnerability is fixed in 5.11.1, 7.9.3, and 8.5.1.
TinyMCE is an open source rich text editor. Prior to 5.11.1, 7.9.3, and 8.5.1, there is a stored XSS vulnerability via forged mce:protected comments. Allows attackers to bypass sanitization and inject scripts that execute when content is restored. Impacts users who utilize the protect option. This vulnerability is fixed in 5.11.1, 7.9.3, and 8.5.1.
pypdf is a free and open-source pure-python PDF library. Prior to 6.12.0, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires extracting text in layout mode with large character offsets. This vulnerability is fixed in 6.12.0.
Python Liquid is a Python engine for the Liquid template language. Prior to 2.2.0, the built-in FileSystemLoader and CachingFileSystemLoader do not guard against reading files outside their search paths when given an absolute path to resolve. This allows malicious template authors to load and render arbitrary files via the {% include %} and {% render %} tags. Targeted files would need to contain valid Liquid markup and be readable by the application process. This vulnerability is fixed in 2.2.0.