WhatsApp: When a large draft becomes a persistent crash loop in App

Monday, August 17, 2026

STA-005 WhatsApp: When a large draft becomes a persistent crash loop in a APP

Structured Text Amplification — Vector 005

This post is part of the series documenting the 32 vectors of Structured Text Amplification (STA). The complete whitepaper, version v5, covers the research, methodology, evidence, and full vector catalog.

If you read STA-001 and STA-002, you saw how oversized URLs can affect interaction surfaces like context menus and share dialogs. STA-005 is different: it's not about a UI surface, it's about persistent state amplification that can lock the entire application.

⚠️ Severity: STA-005 is one of the most severe Class A vectors. A single oversized text pasted into a WhatsApp chat can cause a persistent crash loop that typically resolves only by deleting the conversation or clearing app data.


1. The scenario

The scenario is deceptively simple:

User pastes large text into WhatsApp chat compose field
       ↓
WhatsApp stores the draft in a Fragment (SavedState)
       ↓
FragmentManager attempts to restore the oversized state
       ↓
The serialized activity state subsequently crosses the Binder boundary
       ↓
State exceeds the Binder transaction budget used in the observed reproduction
       ↓
TransactionTooLargeException results in process termination in the observed reproduction
       ↓
WhatsApp crashes
       ↓
The contaminated state remains persisted to disk
       ↓
WhatsApp crashes again on next launch when restoring the same state
       ↓
PERSISTENT CRASH LOOP — user may be unable to open the app until the contaminated state is removed
       ↓
Recovery: delete conversation via adb or clear app data

The user does nothing malicious. They paste a large text — perhaps from a document, a long URL, or a generated payload — and the app becomes persistently unusable until the corrupted state is removed.


2. The amplification mechanism

STA-005 is a textbook example of Class A amplification:

Structured input (text draft)
       ↓
Fragment state (SavedState)
       ↓
Bundle serialization
       ↓
Parcel (Binder transaction)
       ↓
Exceeds Binder transaction budget
       ↓
TransactionTooLargeException → crash
       ↓
State remains persisted → loop on next restore

The key architectural failure is not that the Bundle exceeds the Binder budget. The failure is that the system has no safe degradation mechanism at this boundary:

  • It does not catch TransactionTooLargeException
  • It does not discard oversized state
  • It does not fall back to a clean start
  • Instead, it crashes, and the same contaminated state is restored on the next launch

The interesting property is not that Android has a 1 MB Binder limit. The interesting property is that a relatively small, valid piece of application data can become substantially larger state as it crosses framework boundaries, and that failure at the boundary can become persistent application state rather than a recoverable error.


3. The stack trace and Bundle analysis

The following log output was captured from a production device (WhatsApp, Android 15) after pasting an 80,484-byte draft.

W/Bundle: childFragmentManager [L1]  size=1,636,412
W/Bundle: childFragmentManager [L2]  size=1,614,072
W/Bundle: childFragmentManager [L3]  size=1,603,852
W/Bundle: registryState             size=  479,948
W/Bundle: compose_text (origin)     size=   80,484  ← input data
W/Bundle: TOTAL                     size=1,661,088  ← +58% over the observed Binder budget

Amplification factor

The input was 80,484 bytes of text. The total Bundle size was 1,661,088 bytes.

Measured amplification factor: ×20.6

The analysis indicates that encoding (UTF-16) and framework serialization overhead contribute to this expansion, but the factor should be treated as an empirical measurement rather than as the sum of two fixed multipliers.

Stack trace

The exception occurs when the serialized activity state crosses the Binder boundary. The following excerpt is abbreviated; irrelevant frames and build-specific details have been omitted:

android.os.TransactionTooLargeException: data parcel size 1661088 bytes
    at android.os.BinderProxy.transactNative(Native Method)
    at android.os.BinderProxy.transact(BinderProxy.java)
    at android.app.ActivityManagerProxy.activityStopped(ActivityManagerProxy.java)
    at android.app.ActivityThread.handleStopActivity(ActivityThread.java)
    at android.app.ActivityThread$H.handleMessage(ActivityThread.java)
    at android.os.Handler.dispatchMessage(Handler.java)
    at android.os.Looper.loop(Looper.java)
    at android.app.ActivityThread.main(ActivityThread.java)
    at java.lang.reflect.Method.invoke(Native Method)
    at com.android.internal.os.RuntimeInit$MethodAndArgsCaller.run(RuntimeInit.java)
    at com.android.internal.os.ZygoteInit.main(ZygoteInit.java)

Note: The frames above are shown without line numbers to avoid presenting build-specific line numbers as authoritative. They are intended to illustrate the code path, not to serve as an exact reconstruction of the original stack trace. The exception results in process termination in the observed reproduction.


4. Variants

STA-005b — WhatsApp Business (shared inbox)

When a conversation's SavedState becomes contaminated in WhatsApp Business, the crash loop can affect ALL agents in a shared inbox simultaneously.

  • All agents may see the same crash loop
  • No agent can access the conversation
  • The only recovery (deleting the conversation) destroys the entire communication history with that client

Impact: Potential business continuity impact. A single oversized message can lock an entire customer service team out of a conversation.

STA-005c — WhatsApp + Meta AI

An oversized draft in a Meta AI chat within WhatsApp can lock the entire application persistently.

  • The draft is stored in the AI chat's SavedState
  • Same amplification mechanism
  • Recovery typically requires clearing the entire app data

STA-005d — WhatsApp deep link (api.whatsapp.com/send?text=[payload])

A potential one-click delivery path: an attacker can craft a deep link that opens WhatsApp with a pre-filled text field containing an oversized payload:

https://api.whatsapp.com/send?text=[OVERSIZED_PAYLOAD]
  • The user clicks the link
  • WhatsApp opens with the text pre-filled
  • If the text is persisted as a draft (depending on WhatsApp's draft persistence behaviour), the state becomes contaminated
  • If the user sends the message, the state is also contaminated through the normal message flow

Note: The exact conditions under which the payload contaminates the state without the user sending the message depend on WhatsApp's draft persistence implementation. This is documented as a potential delivery path rather than a guaranteed one-click vector.


5. Affected apps and devices

Confirmed apps:

  • WhatsApp — reproducible on the tested versions across Android 13–16
  • WhatsApp Business — reproducible on the tested versions (shared inbox)
  • WhatsApp + Meta AI chat — reproducible on the tested versions
  • Threads (STA-012, similar mechanism)
  • Other apps with similar SavedState/Binder patterns (Bing, Opera, DuckDuckGo, Firefox)

Devices tested:

  • Xiaomi Redmi Note 14 5G (HyperOS 3.0 / Android 16)
  • Google Pixel 7 (Android 13–15)
  • OPPO A78 (ColorOS, Android 14)
  • OnePlus 11 (OxygenOS, Android 14)
  • Samsung Galaxy series (One UI, Android 14–15)

Reproducibility: 100% on all tested devices.


6. Persistence

Persistence: YES

The contaminated state is written to disk. The crash loop persists across:

  • App restarts
  • Device reboots
  • App updates (if the state is preserved)

Recovery typically requires:

  • Deleting the contaminated conversation (via adb or app settings if accessible)
  • Clearing the entire app data (loses all conversations)
  • Reinstalling the app (loses all data)

7. Why this matters

STA-005 is not just a crash. It is a persistent denial of service with potential data loss implications:

  • For individual users: They lose access to the app until they clear data, losing all chat history
  • For businesses (WhatsApp Business): An entire customer service team can be locked out of a client conversation
  • For the platform: This is a single point of failure in the state restoration mechanism

A sufficiently small structured input can, through state amplification, produce a serialized state large enough to trigger the crash condition. The measured amplification factor (×20.6) demonstrates that this transformation is not merely theoretical.


8. Relationship to other STA vectors

Vector Relationship
STA-012 Same mechanism (Threads deep link → Fragment args → SavedState → Binder)
STA-015-DL Same amplification mechanism, escalated to SystemUI via TaskPersister
STA-022 Same mechanism (DuckDuckGo Fragment args → Parcel → Binder)
STA-028 UTF-16 encoding amplification is a contributing factor to the measured ×20.6

9. Vendor status

Vendor Status
Meta (WhatsApp/Threads) ❌ Reported in March 2026 — no response as of 17 August 2026
Google (Android VRP) ✅ A-477279924 — $250 reward, open triage
Google (AndroidX) ✅ savedstate 1.5.0 (May 2026) decouples SavedState from Binder for AndroidX consumers — but does not fix FragmentManager or SystemUI

Note: Updating to androidx.savedstate 1.5.0 does not protect against STA-005. WhatsApp must update their own state handling, and FragmentManager.restoreAllState() itself remains unpatched.


10. Recommended mitigation

For WhatsApp and other apps:

  • Truncate text input in chat compose fields (max 8–16 KB)
  • Validate draft size before saving to SavedState
  • Catch TransactionTooLargeException in state restoration and fall back to clean start

For the Android framework:

  • FragmentManager.restoreAllState() should catch TransactionTooLargeException and discard oversized state
  • TaskPersister should validate state size before persisting
  • SystemUI should treat corrupted task state as transient and degrade gracefully

📌 The fundamental fix: State restoration must be resilient. A single oversized Bundle should not make the entire app persistently unusable.


11. Methodological note

STA-005 is Tier A — Confirmed. Full stack trace and Bundle analysis have been captured from production devices. The amplification factor (×20.6) is empirically measured.

This vector is one of the most severe in the STA catalog because of its persistence, potential data loss implications, and impact on business users (WhatsApp Business).


Complete whitepaper: Resilience Gaps in Android IPC, SavedState and Text Layout — v5 (August 2026)


📌 About this series
This post is part of a series documenting the 32 vectors of Structured Text Amplification (STA).

Published:
STA-005 — WhatsApp (this post)

Coming next:
⬜ STA-012 — Threads
⬜ STA-015-DL — Google Drive → SystemUI
⬜ STA-017 — Cross-engine ANR

Whitepaper: Resilience Gaps in Android IPC, SavedState and Text Layout — v5


Lostmon · lostmon.blogspot.com

Upstream Android and Chromium Changes in 2026: Converging with the STA Model

Friday, August 14, 2026

Upstream Android and Chromium Changes in 2026: Converging with the STA Model

Structured Text Amplification — Upstream Correlation Analysis

This post analyses changes made in Chromium and AOSP/AndroidX during 2026 that intersect with the surfaces studied by Structured Text Amplification (STA).

The analysis is organised around the 32 vectors documented in the STA whitepaper v5, correlating each with upstream commits or architectural changes where a relationship exists.

Methodological note: This is a correlation analysis, not a claim that any referenced change was caused by the STA research. The goal is to identify whether the same architectural boundaries that STA studies — text selection, context menus, Intent/IPC transfer, UTF-16 serialization — are being modified by Android and Chromium engineers with explicit size limits, policy checks, or allocation controls.


1. The full correlation matrix: STA vectors ↔ upstream changes

Each vector is classified using four levels:

  • Direct - The change modifies precisely the surface or mechanism of the vector.
  • Strong — Same boundary/mechanism, though the commit does not say it fixes STA.
  • Architectural — Evidence that Android/Chromium is working on that class of problem.
  • None — No sufficiently specific upstream change found in this review.
STA Description Upstream change Level
001 Chrome — long-press context menu 0065224e — ShowContextMenu IPC / kLongPress (11 Jun 2026) Direct
002 Context menu (long-press) 0065224e — same commit; documents long-press → ShowContextMenu IPC path Direct
003 Share link 84b615a0 — SelectionUtils, Share/Web Search/Translate, MAX_SHARE_QUERY_LENGTH=100000 (5 May 2026) Direct
004 Google Maps — oversized geo: URI Intent/URI → Binder boundary (architecture) Architectural
005 WhatsApp — large text → SavedState crash loop androidx.savedstate 1.5.0; LargePayloadSupport (AOSP CL 3989977) Strong
005b WhatsApp Business — shared inbox Same SavedState/Binder boundary Strong
005c WhatsApp + Meta AI Same SavedState/Binder boundary Strong
005d WhatsApp deep link Deep link → Intent → Binder (architecture) Strong
006 Google App — Select text → Translate 84b615a0 — ACTION_TRANSLATE added to selection menu Direct
007 Google Drive — PDF → Translate 84b615a0 — PDF viewer selection menu with Translate action Direct
008 System services — sync IPC + oversized payload General Binder/IPC architecture Architectural
009 Google Drive — DOCX → Print Preview Print Service → Bundle → Binder → SystemUI (architecture) Strong
010 Drive → Print Service → SystemUI Print Service → Binder boundary (architecture) Strong
010b Drive → cloud printer Same Print Service/Binder boundary Strong
011 Clipboard → assisted paste → SystemUI ClipData → IPC → SystemUI (architecture) Architectural
012 Threads — deep link /search?q=[payload] Deep link → Fragment args → SavedState → Binder (architecture) Strong
012e Threads via WhatsApp — WebView → deep link Same Intent/SavedState/Binder boundary Strong
013 Microsoft Bing — address-bar history crash Chromium omnibox/history pipeline (architecture) Architectural
015 SystemUI — RecentTasksController TaskPersister → SystemUI → Binder (architecture) Strong
015b HyperOS — OEM Task State Interactor Same TaskPersister/SystemUI boundary Strong
015-DL Google Drive → Browser → SystemUI crash loop Browser → TaskPersister → SystemUI (architecture) Strong
016 Opera — onResume RuntimeException Chromium/Binder architecture Architectural
017 Cross-engine libminikin ANR No public 2026 commit found introducing length limits in LineBreakOptimizer None
018 Drive + Print Service + SystemUI Print/SystemUI/Binder architecture Strong
019a-d Firefox — address bar, ClipboardManager, Compose TextLayout No public 2026 commit found — libminikin lacks structural length limits None
020 Chrome + Edge — address-bar history ANR Chromium Omnibox/history pipeline activity (2026) Strong
021 Brave — address bar ANR Chromium/Omnibox architecture (inherited) Architectural
022 DuckDuckGo — 920 KB URL → 965 KB Parcel 8882927e — PdfView "Fix transaction too large crashes" (Jul 2026) Direct
022b DuckDuckGo — history suggestion ANR No public 2026 commit found — libminikin/history pipeline lacks limits None
023 Samsung Internet — Share crash Chromium Share/Intent architecture Architectural
023b Samsung Internet — tab group freeze Chromium tab/UI architecture Architectural
023c Samsung Internet — address bar ANR Chromium Omnibox/history pipeline Strong
027 Edge Ask Copilot — initialText NavGraph crash Edge/Chromium deep link surface (no public Chromium fix found) Architectural
028 UTF-16 serialization density AOSP Parcel::writeUtf8AsUtf16(); Chromium native UTF-16 size handling Direct

2. Three upstream convergences worth highlighting

🔹 Convergence 1: Selection → Intent — STA-003 / 006 / 007

Chromium has explicitly created SelectionUtils, added Share/Web Search/Translate to the selection menu, and introduced a size limit (MAX_SHARE_QUERY_LENGTH = 100000) to prevent large selections from crossing the Intent boundary directly.

selected text
     ↓
SelectionUtils
     ↓
Share / Web Search / Translate
     ↓
Intent.EXTRA_TEXT / ACTION_TRANSLATE
     ↓
Binder / IPC boundary

Why this matters: This is an independent validation that the surface STA-003/006/007 studies is considered sensitive enough for explicit defensive limits.

🔹 Convergence 2: SavedState → Binder → TransactionTooLargeException — Class A

AndroidX commit 8882927e (July 2026) is titled "Fix transaction too large crashes". The cause: a 1.2 MB SelectionModel serialized via onSaveInstanceState.

1.2 MB SelectionModel
       ↓
onSaveInstanceState
       ↓
Binder transaction
       ↓
TransactionTooLargeException
       ↓
CRASH

The fix avoids serializing the full object, keeping only lightweight anchors (~44 bytes) and reconstructing asynchronously.

Why this matters: This is an upstream mitigation of exactly the architectural pattern Class A STA vectors describe — oversized state crossing Binder.

Limitation: It does not fix FragmentManager.restoreAllState() or TaskPersister. Those remain unpatched.

🔹 Convergence 3: UTF-8 → UTF-16 → allocation — STA-028

AOSP's Parcel::writeUtf8AsUtf16() explicitly calculates UTF-16 length and allocates (utf16Len + 1) * sizeof(char16_t).

UTF-8 input
     ↓
utf8_to_utf16_length()
     ↓
UTF-16 code-unit count
     ↓
(utf16Len + 1) * sizeof(char16_t)
     ↓
Parcel storage allocation

The reverse path similarly calculates size before conversion. Chromium also uses std::u16string / UTF-16 representation for size decisions in selection paths.

Why this matters: This provides direct experimental grounding for STA-028: equal code-point counts can produce different UTF-16 footprints, and those footprints affect allocation decisions.


3. The asymmetry that matters: Class A vs Class B

⚠️ A striking pattern emerges from this review:

  • Class A (IPC / SavedState / Binder) — upstream mitigations are appearing: LargePayloadSupport, PdfView fix, AOSP Intent handling. These boundaries are receiving active defensive work.
  • Class B (libminikin / UI thread)no public 2026 commit introduces structural length limits in LineBreakOptimizer::computeBreaks, breakLineOptimal, or breakLineGreedy. The pipeline remains without a global defensive limit.

This aligns with the STA whitepaper's observation that libminikin's line-breaking paths have not been structurally hardened, despite the existence of historical CVEs (e.g., CVE-2017-0755) and documented ANR behaviour across multiple Android versions.

Conclusion: The upstream evidence confirms that Class A is being addressed, while Class B remains an open gap.


4. What this analysis does — and does not — validate

Supported:

Upstream Android and Chromium changes increasingly introduce defensive boundaries around the same text, IPC and state-propagation surfaces identified by STA.

Not supported by this analysis:

  • That any referenced change was caused by STA research
  • That all STA vectors share one root cause
  • That Class B has been structurally fixed (it has not)

5. The next experiment

STA-028 now has a particularly clear experimental question:

Can the same observed threshold be reached with fewer Unicode code points by changing the UTF-16 representation of the payload?

Record:

  • Code points
  • UTF-16 units
  • UTF-16 bytes
  • UTF-8 bytes
  • Device
  • Android version
  • Observed threshold/outcome

Only after correlating the threshold with representation should the research attribute causality to a particular serialization or IPC layer.


6. Conclusion

The most interesting result of this review is not a single commit, but convergence around the same architectural boundaries:

Selection
   |
   +--> Context menu (STA-002) — direct upstream change
   |
   +--> Share / ProcessText (STA-003) — direct upstream change
   |
   +--> Web Search / Translate (STA-006/007) — direct upstream change
   |
   +--> Intent / IPC (STA-028, Class A) — upstream mitigations emerging
   |
   +--> UTF-16 representation (STA-028) — AOSP allocation evidence
   |
   +--> libminikin / UI thread (STA-017/019) — NO public upstream fix found

STA was created to study what happens when structured input crosses these kinds of boundaries and its effective processing cost changes along the way.

The 2026 Chromium and Android changes do not prove the STA model on their own, but they provide useful external evidence that:

  • These boundaries are real engineering constraints
  • They are areas of active defensive work
  • The specific surfaces studied by STA are exactly the surfaces being modified with limits and policy checks
  • Class A is being addressed; Class B is not

For STA-028 in particular, the combination of the AOSP Parcel conversion path and Chromium's native UTF-16 size handling makes serialization density a hypothesis worth testing rigorously.


Complete whitepaper: Resilience Gaps in Android IPC, SavedState and Text Layout — v6 (August 2026)


📌 About this series
This post is part of a series documenting the 32 vectors of Structured Text Amplification (STA).

Published:
Upstream Android and Chromium Changes in 2026 (this post)

Coming next:
⬜ STA-005 — WhatsApp
⬜ STA-015-DL — Google Drive → SystemUI
⬜ STA-017 — Cross-engine ANR

Whitepaper: Resilience Gaps in Android IPC, SavedState and Text Layout — v5


Lostmon · lostmon.blogspot.com

STA - UTF-16 Serialization Density Experiment v0.2 Structured Text Amplification

STA — UTF-16 Serialization Density Experiment v0.2

Structured Text Amplification

This post is part of the series documenting the 32 vectors of Structured Text Amplification (STA). The experiment presented here explores a fundamental property of Android: how the choice of characters in a string affects its in-memory size and, consequently, its ability to exhaust Binder limits and saturate the libminikin text engine.

The complete whitepaper, version v6, covers the research, methodology, evidence, and full vector catalog.


The experiment

Android stores strings internally in UTF-16. This means that the in-memory size of a string does not directly correlate with the number of characters (code points) or its UTF-8 size. The same number of characters can have very different UTF-16 footprints.

For example:

  • 70,000 ASCII characters (/) occupy 140,000 bytes in UTF-16 (×2).
  • 70,000 emojis (non-BMP, 😀) occupy 280,000 bytes in UTF-16 (×4).

This raises a key question for STA:

Can an attacker choose characters that maximize the UTF-16 footprint to reach the Binder limit (1 MB) with less input, or to saturate libminikin with more UTF-16 units?

The experiment I present here answers this question. The interactive tool I developed (v0.3) allows you to measure the UTF-16 density of any character, estimate Parcel/Binder size, and systematically explore thresholds.


The interactive tool

The following tool (PoC) measures the encoding properties of different characters and estimates the size they would occupy in a Binder transaction.

STA — UTF-16 Serialization Density Experiment
Experimental v0.3 — Measuring encoding + Parcel size
⏳ Status: Experimental

This tool measures encoding density and estimates Android Parcel / Binder size. It does not assert that these differences cause resource amplification. The goal is to quantify differences and explore correlation with STA behaviour.

🔬 Hypothesis under investigation:

Differences in UTF-16 representation (especially non-BMP characters) may shift the effective thresholds for Binder transaction limits, FragmentManager, libminikin and TaskPersister.

Character:
Code points:
(or click a character)

Generated string (70,000 code points):

📦 Estimated Parcel / Binder size

📐 Code-point equivalence:

Number of code points of another character needed to match the current UTF-16 footprint.

📊 Comparison at same code-point length

Character Code points UTF-16 units UTF-16 bytes UTF-8 bytes Ratio Bytes / CP Est. Parcel

🔍 Threshold exploration (Binder)

Current test:

ASCII baseline (code points): (70k ASCII ≈ 140 KB UTF-16)

Equivalent code points of current character to match baseline UTF-16:

📈 UTF-16 units vs code points

BMP  |  Non-BMP  |  dashed line = 1:1 identity

📘 About this tool (v0.3 improvements):

  • Added estimated Parcel size (writeString + Bundle overhead + 4-byte padding).
  • Clear Binder risk levels: Safe (<100 KB), Warning (100-500 KB), Danger (>500 KB practical limit).
  • Custom character support + dark mode.
  • Export observations as JSON for collaborative #STAresearch.
  • More accurate equivalence and threshold calculations.
  • This remains a measurement tool. Security conclusions belong to the full STA research.

⬆ Back to the experiment


Key results

1. Different characters, different footprints

The following table shows the UTF-16 footprint of different characters for the same number of code points (70,000):

Character Code points UTF-16 bytes UTF-8 bytes UTF-16 / UTF-8 ratio
/ (ASCII)70,000140,00070,0002.00×
(Euro)70,000140,000210,0000.67×
(CJK)70,000140,000210,0000.67×
😀 (Emoji)70,000280,000280,0001.00×
𝄞 (Musical)70,000280,000280,0001.00×

Key observation: ASCII characters double in size when converted to UTF-16. Non-BMP characters (emojis) are more compact in UTF-16 relative to UTF-8, but they occupy 4 bytes per character in memory.

2. Code-point equivalence

To match the UTF-16 footprint of 70,000 ASCII characters (140,000 bytes):

  • You need 35,000 emojis (😀) to reach the same 140,000 bytes.
  • You need 70,000 Euro characters () to reach the same 140,000 bytes.

This means the attacker can choose characters to control the relationship between code points and UTF-16 footprint.

3. Parcel / Binder estimation

The v0.3 tool estimates the actual size the string would occupy in a Binder transaction, including:

  • writeString() size (4-byte length + UTF-16 data + padding)
  • Bundle.putString() overhead (~44 additional bytes)

Binder risk is classified as:

  • SAFE (<100 KB)
  • WARNING (100-500 KB) — practical risk zone
  • DANGER (>500 KB) — very likely TransactionTooLargeException

The practical limit on many devices is around 500-520 KB, although the theoretical limit is 1 MB.


Implications for STA

This experiment demonstrates that an attacker can control the amplification by choosing specific characters. This affects:

Class A — Binder / SavedState / FragmentManager

  • STA-005 (WhatsApp): ASCII payload doubles in UTF-16, accelerating the Binder limit.
  • STA-012 (Threads): The attacker can choose ASCII to maximize Bundle size.
  • STA-015-DL (SystemUI): Corrupted state persists; UTF-16 size determines whether the limit is exceeded.
  • STA-022 (DuckDuckGo): 920 KB URL → 965 KB Parcel; with ASCII, the limit is reached faster.

Class B — libminikin / UI thread

  • STA-017 (Chrome/Firefox): More UTF-16 units → more O(n²) work for the line breaker.
  • STA-019 (Firefox address bar): The attacker controls the layout workload.

The ×20.6 factor in STA-005

The amplification factor observed in WhatsApp (×20.6) includes:

  • Encoding amplification: ASCII → UTF-16 (×2)
  • Structural amplification: FragmentManager adds metadata and overhead (×10+)

Key thresholds

Metric Value Notes
Theoretical Binder limit1,048,576 bytesDocumented in AOSP
Practical limit on many devices~500-520 KBBefore TransactionTooLargeException
ASCII characters to reach 1 MB524,288≈ half a million
Non-BMP characters to reach 1 MB262,144≈ a quarter million

Collaboration

The experiment includes an observation logger that allows you to save results with device, Android version, and observed STA behaviour. Observations can be exported as JSON for collaborative analysis.

If you have access to a device running a different Android version or OEM skin, run the experiment and share your results with the hashtag #STAresearch.


Methodological note

This experiment is a measurement tool, not a vulnerability in itself. It measures encoding properties that may correlate with STA behaviour observed in other vectors. The security impact is evaluated in the Class A and Class B vectors, not in the PoC itself.

Parcel/Binder estimates are approximate and may vary across devices, Android versions, and framework implementations. The PoC provides a quantitative basis for experimental exploration.


📌 Published:
STA — UTF-16 Serialization Density Experiment

📌 Coming next:
⬜ STA — Finding the Binder threshold
⬜ STA-005 — WhatsApp
⬜ STA-015-DL — Google Drive → SystemUI
⬜ STA-017 — Cross-engine ANR


Lostmon · lostmon.blogspot.com


Lostmon · lostmon.blogspot.com

 

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