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"Structurally impossible" is a verdict, and a verdict is not a plan. Replacing
both structural-miss tasks with the one mechanism that covers them, because
they are the same shape: two halves of a path joined by a key that is a
literal in the source text.
hook: $_REQUEST -> ... -> return of set_current_page
key: 'wp_statistics_current_page' literal at both ends
return of apply_filters(key) -> ... -> $wpdb->get_row
field: $_POST -> ... -> assignment to $this->attachments
key: attachments a field name at both ends
read of $this->attachments -> ... -> unlink
Neither half is missing from the graph. Only the join is. So this is not a
request for a frontend to draw an edge it cannot draw -- it is a second
question asked with the query that already exists:
stage 1 the existing taint question against a synthetic endpoint: does
untrusted data reach a callback's return, or an assignment to
$this->F?
table built by reading literals, never inferring: add_filter('H', c)
against apply_filters('H', ...); $this->F = against $this->F
stage 2 does the apply_filters return, or the field read, reach a sink?
join on the key, with the RUNG carrying the join's uncertainty -- one
registered callback and a literal key entails; several callbacks or
a computed hook name corroborates, and the witness says which
"Any hook may reach any handler" is refused absolutely: a complete graph over
the plugin would entail everything.
No new dependency, no CPG mutation, no IR -- both stages ride the batch that
already runs, which is the point of expressing it as a query-level join.
It also recovers the precision fix 5.8 had to refuse. With the field half
working, _delete_files() is reached through $this->attachments rather than
through $this being tainted wholesale, so the receiver can then leave
parameter sources and take PMPro's 11 receiver-sourced findings with it.
5.8's numbers are the before-side of that measurement, and both observables
are pairs already pinned.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG