Add forensic modules for Nova AI Chatbot (com.scaleup.chatai) - #696
Add forensic modules for Nova AI Chatbot (com.scaleup.chatai)#696guilhermegui08 wants to merge 20 commits into
Conversation
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For the code to be merged it must use the built-in check in media function to
handle images.
We are also not allowing HTML escaping from the scripts due to code
injection security risks.
Generally the code needs to be more concise and refrain from the use of
deprecated methods that are problematic, like datetime.utcfromtimestamp.
The script also needs to be LAVA compatible to be merged. Lastly make sure
to follow reporting conventions as seen in other scripts.
The artifacts are needed and truly awesome. Looking forward to merging them.
…On Tue, May 19, 2026 at 6:59 AM Guilherme Guilherme < ***@***.***> wrote:
This PR adds 7 modules for the Nova AI Chatbot application. The package ID
is com.scaleup.chatai and the main database is located at
/data/data/com.scaleup.chatai/databases/chat-ai.db.
Modules Added
Module Description
HistoryDetailImage Extracts all images from the HistoryDetailImage table,
correctly identifying AI‑generated images (ASSISTANT role) vs
user‑submitted images (USER role). Includes prompt, generation state,
pipeline, style ID, and Firebase path.
HistoryDetailDocuments Extracts all user‑submitted documents from the
HistoryDetailDocument table with name, MIME type, size, source type, and
Firebase path.
Conversations Full conversation reconstruction by joining History,
HistoryDetail, and all attachment tables. One row per message with
images, documents, and links displayed inline.
Cached Images Extracts all cached images from the Glide disk cache (
cache/image_manager_disk_cache/*.0). Generates an HTML gallery with
thumbnails, file size, and modification time using direct file paths to the
extracted .0 files. Output Format
All modules produce:
- HTML report with previews
- TSV file for further analysis
- Timeline output
Screenshot imagem.png (view on web)
<https://github.com/user-attachments/assets/f92230cd-0a39-4557-bbf0-c81c7f2fdd35>
Acknowledgements
This work was developed with the assistance of AI
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You can view, comment on, or merge this pull request online at:
#696
Commit Summary
- 0aa20d7
<0aa20d7>
Add artifact scripts
- abac85b
<abac85b>
Add icons
File Changes
(8 files <https://github.com/abrignoni/ALEAPP/pull/696/files>)
- *A* scripts/artifacts/AIChatbotNovaCachedImages.py
<https://github.com/abrignoni/ALEAPP/pull/696/files#diff-cdd4c2671937a5f97e53fcdf86ae3e751ac775f01ea71eaad0f18bb374f1e81d>
(172)
- *A* scripts/artifacts/AIChatbotNovaConversations.py
<https://github.com/abrignoni/ALEAPP/pull/696/files#diff-2c58da10af5c3819ca2f0ec6af3606a01abc7e49a6a13f7f4bc908b26a9143b0>
(579)
- *A* scripts/artifacts/AIChatbotNovaHistory.py
<https://github.com/abrignoni/ALEAPP/pull/696/files#diff-b60625e3d8c63ae89320d2e621bccab746a9816886618d405cf21d5905624688>
(276)
- *A* scripts/artifacts/AIChatbotNovaHistoryDetail.py
<https://github.com/abrignoni/ALEAPP/pull/696/files#diff-c6335c334f1e8cf44ba9d05cbb7a4b88e2e6a5db6b951dd2d681d41f5f22dd50>
(329)
- *A* scripts/artifacts/AIChatbotNovaHistoryDetailDocument.py
<https://github.com/abrignoni/ALEAPP/pull/696/files#diff-c9d28daf3308d18ad25da896cd072b32051496b7f6761082a45e5d18b2e8c7b1>
(411)
- *A* scripts/artifacts/AIChatbotNovaHistoryDetailImage.py
<https://github.com/abrignoni/ALEAPP/pull/696/files#diff-f351bf831e092dc6ffbbc28c4becef1dc1e59e81d75f50352aa5b1f9c86b3068>
(395)
- *A* scripts/artifacts/AIChatbotNovaHistoryDetailLink.py
<https://github.com/abrignoni/ALEAPP/pull/696/files#diff-501240b26c7a0ae9bb95941529cdda85d18508bdea4b88b8cf5ba6f4681de882>
(296)
- *M* scripts/report_icons.py
<https://github.com/abrignoni/ALEAPP/pull/696/files#diff-7aa964d9bb13d7f57672bf4c44bc346a54149de3b837f674dd763423371f01d4>
(1)
Patch Links:
- https://github.com/abrignoni/ALEAPP/pull/696.patch
- https://github.com/abrignoni/ALEAPP/pull/696.diff
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Thank you for your time. I Will be looking forward the next weeks to fix the modules. Right now I'm very busy with other projects. |
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The media function you need to use is called check_in_media. Also you need to use the LAVA objects when reporting so the epoch timestamp can then be offset by LAVA as opposed to hard coded UTC in human readable form. Here is a video on how to make LAVA compliant artifacts. https://www.youtube.com/watch?v=qTgZUh4GPxk I apologize for not being more clear previously. I need to update the readme.md of the project but time has been at a premium lately. Be aware that any artifact that currently uses any of the old functions we are slowly updating. If you need an example of a LAVA compliant artifact look at WhatsApp.py in iLEAPP. |
This artifact module extracts metadata from the Nova AI Chatbot database, which exclusively logs remote cloud reference URLs stored as relative paths to Firebase rather than keeping local physical media files or full file paths on the device. Because there are no on-disk assets to index, calling the built-in check_in_media function is bypassed to avoid empty results. Instead, these relative cloud paths are safely kept intact and explicitly typed as standard "text" columns within the headers. This ensures the cloud metadata is accurately preserved in the final forensic reports as pure text strings, completely eliminating HTML injection risks while maintaining strict, native LAVA-compliant formatting.
The Image Manager Cache report already extracts cached images from Nova AI. This module was a duplicate and is unnecessary.
Extracts account info, device identifiers, usage metrics, and Adapty payment data from ChatAI preference files.
Remove Artifact HTML Report
1. AIChatbotNovaHistory
2. AIChatbotNovaSharedPrefs
3. AIChatbotNovaMediaStore
4. AIChatbotNovaConversations
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- Two modules called check_in_media with the six-argument signature the core no longer has, so they would have crashed on any Nova-carrying image; converted to the current call and the SimpleNamespace scaffolding removed. - Roughly sixty columns declared a "text" header type and ten declared "date time", neither of which any consumer implements; the fake types are stripped and the timestamp columns are real datetime columns now, converted from the stored epochs (milliseconds, with a magnitude guard that reads sub-1e11 values as seconds). - The model and persona code maps stay, with notes stating they come from the author's observation of the app rather than vendor documentation; every cell already shows the stored code beside the name, and unmapped codes report as stored. - image/jpeg was hardcoded for images and orphaned files; the MIME column now reports the database value where present and stays blank otherwise. "Cloud-only" in path columns is now "Not in MediaStore", which is what the lookup actually established. - version/date metadata replaced with the fields the framework reads. Verified by a synthetic round-trip database exercising all six database artifacts (rows, column counts, code labels and epoch conversion all correct) and a clean quiet run across the 12 corpus images, none of which carry the app. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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Thank you for this one, the schema mapping work is substantial. I pushed a rework to your branch to bring it onto the current core: the check_in_media calls used a signature that no longer exists (they would have crashed on real data), about seventy column headers declared types nothing implements, the timestamps were raw epochs and now convert properly, the MIME and path columns now say only what the data shows, and the model and persona maps stay with notes stating they come from your observation of the app, with the stored code shown beside every name. The corpus run also caught and fixed a crash on images without a MediaStore files table. Everything passes a synthetic round-trip of all six database artifacts and runs clean across our 12 test images. One thing holds the merge: none of our images carry Nova, so we want a test extraction with real app data before this lands. If you can generate one (even a small chat with an image, a document and a link) and share it, that closes the gap. Not merging yet, but this is ready the moment we can validate it. |
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Thanks for the review of my work. Unfortunately the app was updated and currently, as of my investigation, no longer stores data locally related to chatbot conversations. Shared preferences and other types of data were neither no longer stored. I have deleted the original full system dump that was used to develop these modules and only have the original dump of only private data of the application com.scaleup.chatai. With this dump the majority of the modules work but media store related findings are not present. I can give both my old extraction and new one that made today, as you can see the app no longer stores artifacts of this modules in the private directory. The following link share the compressed file nova_chatbot_extractions.7z protected by password.
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I forgot to mention that for the extraction of today I have used an old version of the app, the same that I used to develop the modules. Unfortunately, even with an old version, the behavior of the app is different. https://apkpure.com/nova-ai-chatgpt-powered-chat/com.scaleup.chatai/download/4.3.4 |
2 participants
This PR adds 7 modules for the Nova AI Chatbot application. The package ID is
com.scaleup.chataiand the main database is located at/data/data/com.scaleup.chatai/databases/chat-ai.db.Modules Added
HistoryDetailImageHistoryDetailImagetable, correctly identifying AI‑generated images (ASSISTANT role) vs user‑submitted images (USER role). Includes prompt, generation state, pipeline, style ID, and Firebase path.HistoryDetailDocumentsHistoryDetailDocumenttable with name, MIME type, size, source type, and Firebase path.ConversationsHistory,HistoryDetail, and all attachment tables. One row per message with images, documents, and links displayed inline.Cached Imagescache/image_manager_disk_cache/*.0). Generates an HTML gallery with thumbnails, file size, and modification time using direct file paths to the extracted.0files.Output Format
All modules produce:
Screenshot
Acknowledgements
This work was developed with the assistance of AI