๐จ CVE-2026-54654
datamodel-code-generator generates Python data models from schema definitions. From 0.14.1 until 0.60.2, the --extra-template-data comment field is rendered into Python comments in src/datamodel_code_generator/model/template/TypeAliasAnnotation.jinja2, src/datamodel_code_generator/model/template/TypedDict.jinja2, src/datamodel_code_generator/model/template/dataclass.jinja2, src/datamodel_code_generator/model/template/msgspec.Struct.jinja2, src/datamodel_code_generator/model/template/pydantic/BaseModel.jinja2, and src/datamodel_code_generator/model/template/pydantic_v2/BaseModel.jinja2 without neutralizing carriage returns in Python # comments, allowing an attacker-controlled comment value to inject Python code into generated models that runs when imported. This issue is fixed in version 0.60.2.
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datamodel-code-generator generates Python data models from schema definitions. From 0.14.1 until 0.60.2, the --extra-template-data comment field is rendered into Python comments in src/datamodel_code_generator/model/template/TypeAliasAnnotation.jinja2, src/datamodel_code_generator/model/template/TypedDict.jinja2, src/datamodel_code_generator/model/template/dataclass.jinja2, src/datamodel_code_generator/model/template/msgspec.Struct.jinja2, src/datamodel_code_generator/model/template/pydantic/BaseModel.jinja2, and src/datamodel_code_generator/model/template/pydantic_v2/BaseModel.jinja2 without neutralizing carriage returns in Python # comments, allowing an attacker-controlled comment value to inject Python code into generated models that runs when imported. This issue is fixed in version 0.60.2.
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GitHub
Merge commit from fork ยท koxudaxi/datamodel-code-generator@b73abb5
Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV. - Merge commit from fork ยท koxudaxi/datamodel-code-generator@b73abb5
๐จ CVE-2026-54655
datamodel-code-generator generates Python data models from schema definitions. From 0.51.0 until 0.60.2, x-python-type values parsed by src/datamodel_code_generator/parser/jsonschema.py in _get_python_type_override are inserted into generated field annotations without sufficient validation, allowing attacker-controlled JSON Schema content to execute Python code when the generated module is imported. This issue is fixed in version 0.60.2.
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datamodel-code-generator generates Python data models from schema definitions. From 0.51.0 until 0.60.2, x-python-type values parsed by src/datamodel_code_generator/parser/jsonschema.py in _get_python_type_override are inserted into generated field annotations without sufficient validation, allowing attacker-controlled JSON Schema content to execute Python code when the generated module is imported. This issue is fixed in version 0.60.2.
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GitHub
Merge commit from fork ยท koxudaxi/datamodel-code-generator@2c93c9b
Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV. - Merge commit from fork ยท koxudaxi/datamodel-code-generator@2c93c9b
๐จ CVE-2026-54656
datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. From 0.52.1 until 0.60.2, datamodel-code-generator interpolates validators from --extra-template-data in src/datamodel_code_generator/model/pydantic_v2/base_model.py through _process_validators into @field_validator decorators without safe validation, allowing Python code execution when the generated Pydantic v2 model is imported. This issue is fixed in version 0.60.2.
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datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. From 0.52.1 until 0.60.2, datamodel-code-generator interpolates validators from --extra-template-data in src/datamodel_code_generator/model/pydantic_v2/base_model.py through _process_validators into @field_validator decorators without safe validation, allowing Python code execution when the generated Pydantic v2 model is imported. This issue is fixed in version 0.60.2.
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GitHub
Merge commit from fork ยท koxudaxi/datamodel-code-generator@a43d029
Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV. - Merge commit from fork ยท koxudaxi/datamodel-code-generator@a43d029
๐จ CVE-2026-54690
datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. From 0.9.1 until 0.61.0, datamodel-code-generator silently dereferences attacker-controlled JSON Schema $ref HTTP or HTTPS URLs in src/datamodel_code_generator/parser/jsonschema.py through _get_ref_body, and the --allow-remote-refs gate can warn instead of blocking, allowing server-side request forgery through src/datamodel_code_generator/http.py. This issue is fixed in version 0.61.0.
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datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. From 0.9.1 until 0.61.0, datamodel-code-generator silently dereferences attacker-controlled JSON Schema $ref HTTP or HTTPS URLs in src/datamodel_code_generator/parser/jsonschema.py through _get_ref_body, and the --allow-remote-refs gate can warn instead of blocking, allowing server-side request forgery through src/datamodel_code_generator/http.py. This issue is fixed in version 0.61.0.
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GitHub
Merge commit from fork ยท koxudaxi/datamodel-code-generator@5fdba4a
* Fix unsafe HTTP fetches
* Fix unsafe HTTP fetch handling
* Add private network opt-out flag
* Fix unsafe HTTP fetch handling
* Add private network opt-out flag
๐จ CVE-2026-54691
datamodel-code-generator generates Python data models from schema definitions. From 0.9.1 until 0.61.0, src/datamodel_code_generator/http.py http.get_body accepts --url targets and redirect chain targets without host/IP validation, allowing server-side request forgery against loopback, private, link-local, metadata, and other network-accessible resources. This issue is fixed in version 0.61.0.
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datamodel-code-generator generates Python data models from schema definitions. From 0.9.1 until 0.61.0, src/datamodel_code_generator/http.py http.get_body accepts --url targets and redirect chain targets without host/IP validation, allowing server-side request forgery against loopback, private, link-local, metadata, and other network-accessible resources. This issue is fixed in version 0.61.0.
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GitHub
Merge commit from fork ยท koxudaxi/datamodel-code-generator@5fdba4a
* Fix unsafe HTTP fetches
* Fix unsafe HTTP fetch handling
* Add private network opt-out flag
* Fix unsafe HTTP fetch handling
* Add private network opt-out flag
๐จ CVE-2026-55389
datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. Prior to 0.62.0, datamodel-code-generator resolves JSON Schema $ref targets in src/datamodel_code_generator/parser/jsonschema.py through is_url and _get_ref_body without containing file:// or ../ traversal references to the input directory and without honoring --no-allow-remote-refs, allowing arbitrary local file reads. This issue is fixed in version 0.62.0.
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datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. Prior to 0.62.0, datamodel-code-generator resolves JSON Schema $ref targets in src/datamodel_code_generator/parser/jsonschema.py through is_url and _get_ref_body without containing file:// or ../ traversal references to the input directory and without honoring --no-allow-remote-refs, allowing arbitrary local file reads. This issue is fixed in version 0.62.0.
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GitHub
Merge commit from fork ยท koxudaxi/datamodel-code-generator@2ff4a72
* Fix local ref containment
* Allow trusted external ref fixtures
* Warn on external local refs
* Test default external local ref warning
* Allow trusted external ref fixtures
* Warn on external local refs
* Test default external local ref warning
๐จ CVE-2026-55390
datamodel-code-generator generates Python data models from schema definitions. From 0.59.0 until 0.62.0, XML Schema parsing in src/datamodel_code_generator/parser/xmlschema.py for --input-file-type xmlschema resolves xs:include, xs:import, xs:redefine, and xs:override schemaLocation values outside the input base path, allowing arbitrary local files to be read and reflected into generated models. This issue is fixed in version 0.62.0.
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datamodel-code-generator generates Python data models from schema definitions. From 0.59.0 until 0.62.0, XML Schema parsing in src/datamodel_code_generator/parser/xmlschema.py for --input-file-type xmlschema resolves xs:include, xs:import, xs:redefine, and xs:override schemaLocation values outside the input base path, allowing arbitrary local files to be read and reflected into generated models. This issue is fixed in version 0.62.0.
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GitHub
Merge commit from fork ยท koxudaxi/datamodel-code-generator@d2d5cec
Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV. - Merge commit from fork ยท koxudaxi/datamodel-code-generator@d2d5cec
๐จ CVE-2026-55391
datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. Prior to 0.63.0, datamodel-code-generator validates a URL host once in src/datamodel_code_generator/http.py through get_body, _validate_url_for_fetch, and _get_ips_from_host, but then lets httpx resolve the host again for the connection, allowing DNS rebinding to bypass allow_private_network=False and reach internal services. This issue is fixed in version 0.63.0.
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datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. Prior to 0.63.0, datamodel-code-generator validates a URL host once in src/datamodel_code_generator/http.py through get_body, _validate_url_for_fetch, and _get_ips_from_host, but then lets httpx resolve the host again for the connection, allowing DNS rebinding to bypass allow_private_network=False and reach internal services. This issue is fixed in version 0.63.0.
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GitHub
Merge commit from fork ยท koxudaxi/datamodel-code-generator@25c8b7e
* Fix DNS rebinding guard
* Fix DNS pinning type checks
* Use httpcore DNS pinning
* Add typed HTTP protocols
* Fix pinned transport runtime contract
* Add real HTTP transport coverage
* Hard...
* Fix DNS pinning type checks
* Use httpcore DNS pinning
* Add typed HTTP protocols
* Fix pinned transport runtime contract
* Add real HTTP transport coverage
* Hard...
๐จ CVE-2026-55403
datamodel-code-generator generates Python data models from schema definitions. Prior to 0.63.0, src/datamodel_code_generator/http.py get_body reuses Authorization, Cookie, and Proxy-Authorization headers when following cross-origin redirects while fetching remote schemas, allowing credentials scoped to one schema host to be leaked to another redirect target. This issue is fixed in version 0.63.0.
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datamodel-code-generator generates Python data models from schema definitions. Prior to 0.63.0, src/datamodel_code_generator/http.py get_body reuses Authorization, Cookie, and Proxy-Authorization headers when following cross-origin redirects while fetching remote schemas, allowing credentials scoped to one schema host to be leaked to another redirect target. This issue is fixed in version 0.63.0.
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GitHub
Merge commit from fork ยท koxudaxi/datamodel-code-generator@a585c03
Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV. - Merge commit from fork ยท koxudaxi/datamodel-code-generator@a585c03
๐จ CVE-2026-55415
datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. From 0.11.6 until 0.64.0, datamodel-code-generator allows attacker-controlled x-python-import or customTypePath schema extensions to reach src/datamodel_code_generator/parser/jsonschema.py and generated import handling through Import.from_full_path and Imports.create_line in src/datamodel_code_generator/imports.py, allowing a newline to break out of an import statement and execute Python code when the generated model is imported. This issue is fixed in version 0.64.0.
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datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. From 0.11.6 until 0.64.0, datamodel-code-generator allows attacker-controlled x-python-import or customTypePath schema extensions to reach src/datamodel_code_generator/parser/jsonschema.py and generated import handling through Import.from_full_path and Imports.create_line in src/datamodel_code_generator/imports.py, allowing a newline to break out of an import statement and execute Python code when the generated model is imported. This issue is fixed in version 0.64.0.
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GitHub
Merge commit from fork ยท koxudaxi/datamodel-code-generator@577d495
* Fix Python import extensions
* Fix x-python-import validation binding
* Fix x-python-import validation binding
๐จ CVE-2025-5318
A flaw was found in the libssh library in versions less than 0.11.2. An out-of-bounds read can be triggered in the sftp_handle function due to an incorrect comparison check that permits the function to access memory beyond the valid handle list and to return an invalid pointer, which is used in further processing. This vulnerability allows an authenticated remote attacker to potentially read unintended memory regions, exposing sensitive information or affect service behavior.
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A flaw was found in the libssh library in versions less than 0.11.2. An out-of-bounds read can be triggered in the sftp_handle function due to an incorrect comparison check that permits the function to access memory beyond the valid handle list and to return an invalid pointer, which is used in further processing. This vulnerability allows an authenticated remote attacker to potentially read unintended memory regions, exposing sensitive information or affect service behavior.
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๐จ CVE-2026-45500
Improper neutralization of input during web page generation ('cross-site scripting') in Microsoft Exchange Server allows an unauthorized attacker to perform spoofing over a network.
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Improper neutralization of input during web page generation ('cross-site scripting') in Microsoft Exchange Server allows an unauthorized attacker to perform spoofing over a network.
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๐จ CVE-2026-45501
Server-side request forgery (ssrf) in Microsoft Exchange Server allows an authorized attacker to perform spoofing over a network.
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Server-side request forgery (ssrf) in Microsoft Exchange Server allows an authorized attacker to perform spoofing over a network.
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๐จ CVE-2026-45502
Server-side request forgery (ssrf) in Microsoft Exchange Server allows an authorized attacker to disclose information over a network.
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Server-side request forgery (ssrf) in Microsoft Exchange Server allows an authorized attacker to disclose information over a network.
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๐จ CVE-2026-45503
Improper authorization in Microsoft Exchange Server allows an authorized attacker to disclose information over a network.
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Improper authorization in Microsoft Exchange Server allows an authorized attacker to disclose information over a network.
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๐จ CVE-2026-45504
Server-side request forgery (ssrf) in Microsoft Exchange Server allows an authorized attacker to elevate privileges over a network.
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Server-side request forgery (ssrf) in Microsoft Exchange Server allows an authorized attacker to elevate privileges over a network.
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๐จ CVE-2026-45583
Improper control of generation of code ('code injection') in Microsoft Exchange Server allows an unauthorized attacker to execute code over a network.
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Improper control of generation of code ('code injection') in Microsoft Exchange Server allows an unauthorized attacker to execute code over a network.
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๐จ CVE-2026-47631
Improper neutralization of input during web page generation ('cross-site scripting') in Microsoft Exchange Server allows an unauthorized attacker to perform spoofing over a network.
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Improper neutralization of input during web page generation ('cross-site scripting') in Microsoft Exchange Server allows an unauthorized attacker to perform spoofing over a network.
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๐จ CVE-2026-56208
A heap buffer overflow vulnerability was found in libaom, the reference AV1 codec implementation. A flaw in the AV1 encoder's Look-Ahead Processing (LAP) mode causes the first-pass stats ring buffer wrap-around guard to be bypassed when g_lag_in_frames is set to 1 or higher. This results in a 232-byte out-of-bounds write on every encoded frame after the second, corrupting adjacent heap objects. An attacker who can influence encoder configuration in a transcoding service or WebRTC session could exploit this to cause a denial of service (process crash) or potentially achieve code execution.
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A heap buffer overflow vulnerability was found in libaom, the reference AV1 codec implementation. A flaw in the AV1 encoder's Look-Ahead Processing (LAP) mode causes the first-pass stats ring buffer wrap-around guard to be bypassed when g_lag_in_frames is set to 1 or higher. This results in a 232-byte out-of-bounds write on every encoded frame after the second, corrupting adjacent heap objects. An attacker who can influence encoder configuration in a transcoding service or WebRTC session could exploit this to cause a denial of service (process crash) or potentially achieve code execution.
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๐จ CVE-2026-47219
find-my-way is a framework-independent HTTP router that internally uses a Radix Tree and supports route parameters and wildcards. Versions prior to 9.7.0 are vulnerable to remotely triggerable DoS in find-my-way when it is used with Node's HTTP/2 server. The lookup() function passes req.method into find(), and find() indexes this.trees[method]. Since this.trees is a normal object, HTTP/2 method values like constructor, toString, or __proto__ can resolve inherited object properties instead of returning undefined. The code then treats that value like a router node and crashes when it reaches currentNode.prefix.length. This issue has been fixed in version 9.0.7.
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find-my-way is a framework-independent HTTP router that internally uses a Radix Tree and supports route parameters and wildcards. Versions prior to 9.7.0 are vulnerable to remotely triggerable DoS in find-my-way when it is used with Node's HTTP/2 server. The lookup() function passes req.method into find(), and find() indexes this.trees[method]. Since this.trees is a normal object, HTTP/2 method values like constructor, toString, or __proto__ can resolve inherited object properties instead of returning undefined. The code then treats that value like a router node and crashes when it reaches currentNode.prefix.length. This issue has been fixed in version 9.0.7.
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GitHub
DDoS with HTTP2
### Impact
Remotely triggerable DoS in find-my-way when it is used with Node's HTTP/2 server.
The short version is that `lookup()` passes `req.method` into `find()`, and `find()` indexes `t...
Remotely triggerable DoS in find-my-way when it is used with Node's HTTP/2 server.
The short version is that `lookup()` passes `req.method` into `find()`, and `find()` indexes `t...
๐จ CVE-2026-54638
gotd/td is a T Telegram MTProto API client in Go. Prior to 0.145.1, proto.UnencryptedMessage.Decode in proto/unencrypted_message.go read attacker controlled dataLen from an unauthenticated MTProto unencrypted packet and allocated make([]byte, dataLen) before checking the remaining buffer, allowing remote unauthenticated denial of service through excessive memory allocation and CPU or garbage collection pressure. This issue is fixed in version 0.145.1.
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gotd/td is a T Telegram MTProto API client in Go. Prior to 0.145.1, proto.UnencryptedMessage.Decode in proto/unencrypted_message.go read attacker controlled dataLen from an unauthenticated MTProto unencrypted packet and allocated make([]byte, dataLen) before checking the remaining buffer, allowing remote unauthenticated denial of service through excessive memory allocation and CPU or garbage collection pressure. This issue is fixed in version 0.145.1.
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GitHub
fix(proto): validate plaintext message length before allocation ยท gotd/td@9d5d1f3
Telegram client, in Go. (MTProto API). Contribute to gotd/td development by creating an account on GitHub.