Decompression of iOS kernelcache / Android Kernel images.
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- android, ios
- Domain
- operating-systems, reverse-engineering
Research direction
Start by reviewing dependency #133 and the requested iOS kernelcache and Android zImage formats. The issue names no files or tests, so first identify the project's loading entry point and establish how native decompression should support both formats without external img4 or gzip tooling. Done means those kernel binaries load natively.
Written by the indexing model from the issue text.
Description
What is the feature you'd like to have?
Native support for decompressing the kernel binaries of major mobile platforms so they can load natively without external tooling/processing. IDA natively does this for kernelcaches, and it's a very handy usability fix. (zImage and iOS kernelcache are the main ones I care about).
Probably dependant on #133
Are any alternative solutions acceptable?
I mean, you can use open source img4 tooling and gzip command line tooling, but it would be nice if Binja could handle this natively.
- Dominant language
- C++
- Stars
- 1.3k
- Forks
- 298
- Avg merge
- 5d 5h
- Merged PRs (30d)
- 19
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from Vector35/binaryninja-api
-
Difficulty 1/5 1-3 hours Newbie friendliness 88/100
Vector35/binaryninja-api#8540 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
Vector35/binaryninja-api#8516 ·
-
Difficulty 1/5 Under an hour Newbie friendliness 92/100
Vector35/binaryninja-api#8503 ·
-
Difficulty 1/5 Under an hour Newbie friendliness 88/100
Vector35/binaryninja-api#8446 ·
-
Difficulty 1/5 Under an hour Newbie friendliness 88/100
Vector35/binaryninja-api#8444 ·
All issues in Vector35/binaryninja-api
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 86/100
-
Sensor initialization takes very long when `--initial-sim-time` is set to current UNIX timestamp Open
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
gazebosim/gz-sensors#662 · 1 comment ·
-
enhancement
Difficulty 2/5 1-3 hours Newbie friendliness 76/100
-
comp-datalake
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
ClickHouse/ClickHouse#121222 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
LadybirdBrowser/ladybird#12123 ·