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Low 29 Bitcoin

refactor(core): update users of micropython uzlib

Public commit record

What the developer wrote

Authored by Martin Milata

80/100 · Strong
refactor(core): update users of micropython uzlib

Relevant micropython changes:
c2b8e6e5d685ce0ef7cd7186f326cac8a39eb2a3 lib/uzlib: Clean up tinf -> uzlib rename.
e6c290c3d145de81e23f406c84359860c4d6e632 lib/uzlib: Add a source_read_data var to pass to source_read_cb.

Needs trezor-specific patch.

[no changelog]
✓ Descriptive subject✓ Names a concrete action or component✓ Uses a recognizable type or scope✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This commit updates Trezor firmware code to match a renamed and slightly changed version of the micropython uzlib decompression library. It renames types (e.g., `uzlib_uncomp` to `uzlib_uncomp_t`), replaces old return-code constants (`TINF_OK` with `UZLIB_OK`), and adds a new `source_read_data` field used by the library's callback mechanism. The changes are a routine refactor to stay compatible with an upstream micropython update. There is no direct evidence in the commit that this fixes a security vulnerability, but any mismatch between firmware and its decompression library could in principle cause crashes or incorrect behavior during firmware updates.

Recommended action

Treat as a maintenance refactor. Verify that the new `source_read_data` pointer is always correctly set and cleared, and that the callback signature change does not introduce use-after-free or null-dereference paths during firmware update decompression. Review the upstream micropython commits for any associated security fixes, but do not assume this commit alone resolves a vulnerability.

Security signals we found

01

Refactor triggered by upstream library API change

02

Callback context pointer handling changed (source_read_cb_context and source_read_data)

03

Bootloader decompression code touched

04

No changelog entry, reducing audit trail

05

No explicit security wording in commit or supplied references

Risk score

Why this scored 29/100

Our methodology →
Potential impact 5/30
Exploitability 5/25
Stealth signal 5/15
Affected reach 5/15
Confidence 6/10
Evidence quality 3/5
Human-validated context

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