| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| toml-node is a TOML parser for Node.js and the browser. Prior to 5.0.1, toml.parse() can write attacker-controlled properties to Object.prototype because quoteDottedString() in lib/compiler.js produces the same bookkeeping string for distinct quoted key paths, allowing addTableArray() to clear another key's guard. The assign() path then descends through an unowned Date value without applying the owned-container check and can reach the prototype chain. Objects created elsewhere in the process can inherit the injected property. This issue is fixed in version 5.0.1. |
| toml-node is a TOML parser for Node.js and the browser. Prior to 5.0.1, the toml.parse() compiler's addTableArray() function in lib/compiler.js rescans the complete assignedPaths and valueAssignments bookkeeping sets for every array-of-tables header. Distinct [[name]] paths are not pruned, so a document with many such headers causes quadratic synchronous work and can block the Node.js event loop, denying service to other operations in the process. This issue is fixed in version 5.0.1. |
| odt2spip plugin for SPIP before 4.4.0 contains an OS command injection vulnerability that allows authenticated authors to execute arbitrary commands by uploading a document with a maliciously crafted filename through the document import form. Attackers can embed shell metacharacters such as $(id) in a non-.odt filename, which survives insufficient sanitization in odt2spip_deplacer_fichier_upload() and LibreOffice::createCommand(), to achieve remote code execution as the web-server user during the LibreOffice conversion process. |
| dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.40.0 through 0.70.5, ClassRepresentation.render_docstring copies a schema record's doc value into a generated triple-double-quoted class docstring without escaping quotes or backslashes. A crafted triple-quote sequence can close the docstring and inject statements into the generated class body, while a trailing backslash can escape the generated closing delimiter, allowing Python code execution during module import. Version 0.70.6 fixes the vulnerability by escaping quotes, backslashes, and unsafe control characters before rendering docstrings. |
| dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, BaseGenerator.parse_fixed inserts a fixed type's namespace value between quotes inside a generated types.confixed annotation without escaping or validating it. A crafted quote can terminate the namespace string and alter the surrounding annotation expression, which Python evaluates when the generated class is defined, allowing arbitrary code execution. Version 0.70.6 fixes the vulnerability by requiring the namespace to be a dot-separated sequence of valid Avro names. |
| dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.65.9 through 0.70.5, PydanticFieldRepresentation.add_field_properties inserts a schema field's doc value between the quotes of a generated pydantic.Field description argument without escaping it. A crafted quote can terminate the string and inject an expression evaluated during generated class definition, allowing arbitrary Python code execution for Pydantic and AvroDantic model generation. Version 0.70.6 fixes the vulnerability by escaping the documentation value before rendering it. |
| dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.44.0 through 0.70.5, the Pydantic and AvroDantic model generators insert a schema field's pydantic-class value after pydantic. in a generated field annotation without safely restricting the expression. Because annotations are evaluated when the generated module is imported, a crafted value can execute arbitrary Python code. Version 0.70.6 fixes the vulnerability by restricting the value to a bare name or a call to a bare name with literal arguments. |
| dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, EnumRepresentation.render_symbols concatenates each schema-controlled enum symbol between double quotes in a generated enum assignment. When generator classes are used directly, a quote can terminate the string literal and inject arbitrary Python code into the enum class body, which executes when the generated module is imported. Version 0.70.6 fixes the vulnerability by escaping enum symbol values before rendering them. |
| Potential arbitrary code execution, under specific configurations. |
| dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, FieldRepresentation.get_field_default renders a schema-controlled enum field default as an enum member reference after applying case conversion but without validating it as an identifier. Newlines, operators, and punctuation can escape the intended reference and inject constrained statements into the generated module, allowing namespace modification or preventing the module from loading. Version 0.70.6 fixes the vulnerability by validating enum defaults as names. |
| dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, BaseGenerator.parse_fixed interpolates a fixed type's aliases value directly into a generated types.confixed annotation. A list is represented with quoted entries, but a bare string is emitted as an unquoted Python expression and evaluated when the generated module is imported, allowing arbitrary code execution from a crafted schema. Version 0.70.6 fixes the vulnerability by rejecting aliases values that are not lists. |
| dataclasses-avroschema generates Avro schemas from Python dataclasses, Pydantic models, and Faust Records and generates Python code from Avro schemas. From version 0.38.0 through 0.70.5, BaseGenerator.parse_enum and EnumRepresentation.render_symbols use each schema-controlled enum symbol as a generated enum member name after case conversion but without validating it as an identifier. When generator classes are used directly, newlines and punctuation can inject constrained statements into the generated enum class body, allowing namespace modification or preventing the module from loading. Version 0.70.6 fixes the vulnerability by validating every enum symbol as a name. |
| Adobe Framemaker is affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to disclose sensitive information. Exploitation of this issue requires user interaction in that a victim must open a malicious file. |
| Adobe Framemaker is affected by a Heap-based Buffer Overflow vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file. |
| Adobe Framemaker is affected by a Use After Free vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file. |
| Adobe Framemaker is affected by an out-of-bounds write vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file. |
| Adobe Framemaker is affected by a NULL Pointer Dereference vulnerability that could result in an application denial-of-service. An attacker could exploit this vulnerability to crash the application, leading to a denial-of-service condition. Exploitation of this issue requires user interaction in that a victim must open a malicious file. |
| Adobe Framemaker is affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to disclose sensitive information. Exploitation of this issue requires user interaction in that a victim must open a malicious file. |
| Adobe Framemaker is affected by a Heap-based Buffer Overflow vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file. |
| Stonewuu ai-fusion-video through 1.2.0 contains a path traversal vulnerability that allows authenticated users to write uploaded files outside the media directory via the subDir parameter of POST /api/storage/upload. Attackers can supply parent-directory sequences that LocalStorageStrategy.storeBytes never normalizes, creating directories and writing attacker-controlled files with chosen extensions anywhere the service account can write. |
