Add deliverable-form discipline, execution identity, and four reusable scripts

Generalized from a long hardened-target engagement. Additions target the failure
modes that cost the most time and are not yet covered; nothing here is sample-specific.

New discipline
- SKILL.md: a third override rule -- deliver in the environment the request requires.
  A root-only or live-instrumentation result can look like success while failing the
  actual requirement (unrooted, installable, self-contained). Also adds two classify
  questions: what form the deliverable must take, and which architecture/library is
  actually executing.
- long-task-discipline.md: "the most expensive drift" -- a constraint table (privilege,
  modification form, ABI, network, persistence, distribution), the checkpoint question,
  and how to report a privileged workaround as a fallback rather than a deliverable.
  Plus "bound every wait": timeouts on every command, budgets calibrated from
  measurement so slow and hung are distinguishable, and sampling an observable you can
  inspect instead of sleeping blind.
- environment.md: look at the screen instead of driving blind; which of the two screen
  evidence kinds is trustworthy (an empty accessibility tree is common for
  runtime-rendered UI, where the image is primary rather than a fallback); emulator
  console control and adb recovery; preflight before every experiment block.
- native-and-so.md: what the device claims vs what the package manager chose vs what is
  actually mapped; translation layers and their consequences for hooks and native
  checks; fat-APK ABI selection.
- runtime-data.md: when the app rewrites your edit (server refresh vs local
  regeneration), why chmod/chown cannot work because the app deletes and recreates the
  file, and the immutable-attribute fix; decoding a value that only looks encrypted.
- framework-runtimes.md: string encoding traps (a UTF-8 scan of a UTF-16 snapshot
  returns nothing and reads as "the strings were stripped"), and non-ASCII obfuscated
  identifiers -- resolve by shape, not by name.
- pitfalls.md: P23 the fix lives in a file the app rewrites; P24 the artifact changed
  but the wrong one is executing; P25 "search found nothing" treated as "not there".

New scripts (parameterized, path-agnostic, all with explicit timeouts)
- preflight.py  environment check: device, root, ABI/translation, clock skew, leftover
                proxy/forwards, dead device server, chosen ABI, free space
- lib_map.py    what is actually mapped into a live process: path, base, architecture
                from the ELF header, and whether it came from the APK or was
                materialized at runtime
- blob_decode.py search (don't guess) the framing of a stored value, then re-encode the
                edited payload with the same parameters
- snap.py       bounded burst screenshots + control-tree capture, with a stall detector
                and an explicit verdict on whether the tree is usable

All four were exercised against a live device while writing: preflight correctly
flags multi-device ambiguity and detected the ARM translation layer; lib_map read real
ELF headers and identified the translation shim; blob_decode round-tripped a
rotation+deflate+base64 blob at realistic size in ~0.2s; snap detected a stalled screen
across three hashes.
This commit is contained in:
inliver233
2026-09-19 22:08:01 +08:00
parent 55432780fc
commit 0ea42265b7
12 changed files with 1537 additions and 34 deletions
+26
View File
@@ -72,11 +72,37 @@ the snapshot rather than by pattern-matching machine code.
- **Strings first.** User-visible text (dialog bodies, feature labels) is the cheapest anchor in any
runtime. Find it, then find what references it.
- **Search them in the encoding the runtime actually uses, or you will conclude they do not exist.**
This is the single most common false negative in cross-platform work. A runtime snapshot does not
necessarily store text as UTF-8; UTF-16 (little-endian on these targets) is common and entirely
valid. A UTF-8 search of such a snapshot returns **zero hits**, which reads as "the strings were
stripped / encrypted, this route is dead" — and that conclusion is wrong.
```python
blob = open('libapp.so', 'rb').read() # or whichever artifact holds the snapshot
for phrase in ('<feature label>', '<dialog title>'):
print(phrase, 'utf-8:', blob.find(phrase.encode('utf-8')),
'utf-16le:', blob.find(phrase.encode('utf-16-le')))
```
Try both, and try a short distinctive substring rather than a long phrase.
- **A phrase that is absent may simply never exist as one literal.** UI text is often assembled from
fragments or templates, so "the whole sentence" can be missing while both halves are present.
Search the shortest distinctive token, and expect the interesting anchor to be a *label* rather
than a sentence.
- **Landing on a string tells you where the text lives, not which code decided to show it.** Treat the
hit as an anchor for reference-hunting, not as the answer.
- **Compare two builds.** The same feature in a slightly different version often reveals the code path.
- **Watch the boundary, not the interior.** For cross-platform apps it is usually far cheaper to observe
what crosses between layers than to reverse the interior of the runtime.
- **Do not assume the obfuscated names are stable or meaningful.** They are not, and treating them as
identities leads to conclusions that break on the next build.
- **Obfuscated identifiers can be non-ASCII and invisible.** Renaming passes can replace class and
member names with characters outside ASCII (combining marks, variant selectors and similar). If a
class exists at runtime but "cannot be found" by the name you read from a decompiler, suspect
encoding or normalisation in your tooling rather than a missing class. Resolve such members by
**shape** — parameter counts, types, interface implementation — instead of by name, and prefer
runtime enumeration of loaded classes over guessing identifiers.
## What this changes about your plan