Drop the plain 'message' event name from the @HostListener matcher. The
postMessage 'message' event is dispatched on window and does not bubble, so an
element-level @HostListener('message') does not receive cross-window messages.
Keeping only 'window:message' and 'document:message' makes the model more
precise and matches the accompanying comment and change note.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Angular registers window message handlers via the
@HostListener('window:message', ['\']) decorator rather than
window.addEventListener('message', ...). The PostMessageEventHandler class
only modeled the addEventListener and window.onmessage forms, so the decorated
handler's event parameter was never treated as a message source. As a result,
js/missing-origin-check produced no alert and the event was not a client-side
remote flow source for downstream queries (e.g. client-side URL redirection).
Extend PostMessageEventHandler to also recognize methods decorated with
@HostListener for 'window:message', 'document:message', or 'message'.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Add missing system/user prompt-injection sinks across the OpenAI,
Anthropic, and Google GenAI JavaScript models:
- OpenAI videos.create/edit/extend/remix prompts (user)
- OpenAI beta.realtime.sessions.create instructions (system)
- Anthropic legacy completions.create prompt (user)
- Google GenAI caches.create config.systemInstruction (system)
- Google GenAI caches.create config.contents (user)
Also reclassify the OpenAI legacy completions.create prompt from
system-prompt-injection to user-prompt-injection: the legacy
/v1/completions endpoint takes a single free-form prompt with no role
separation, so it is the text-in/text-out equivalent of a user message.
Note: videos.remix takes the prompt in Argument[1] (remix(videoID, body)),
and Google GenAI caches.create nests both contents and systemInstruction
under config, so the model entries differ slightly from a naive mapping.
Add corresponding test cases with inline annotations and regenerate the
.expected files.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2. Add annotations for sources
2. Fix a modelling issue in the openai library - missing coverage for a legacy method when moving to MaDs and a mistake in the assistants.create models
Move UserPromptInjection out of experimental into stable JavaScript security locations.
Set js/user-prompt-injection precision to low and remove experimental tagging.
Move supporting dataflow libraries, qhelp/examples, and tests to stable paths and update references.
Move OpenAI, Anthropic, Google GenAI, and LangChain sinks that are
structurally typed (identified by API name alone) into MaD YAML files.
Role-filtered sinks that require inspecting a sibling 'role' property
remain in QL code since MaD cannot express conditional logic.
Use two distinct sink kinds:
- user-prompt-injection: picked up by UserPromptInjection.ql
- system-prompt-injection: picked up by SystemPromptInjection.ql
New files:
- javascript/ql/lib/ext/openai.model.yml
- javascript/ql/lib/ext/anthropic.model.yml
- javascript/ql/lib/ext/google-genai.model.yml
- javascript/ql/lib/ext/langchain.model.yml
Vercel API handlers more often return JSON than HTML, so res.send is
not the only response body sink that matters. Mirror Express's
ResponseJsonCall by also matching res.json(...) and res.jsonp(...) on
the response (direct and chained), and exercise the new behavior in
the library-test fixture.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
