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Low 41 Bitcoin

feat(core): Optimize and generalize tropic_data_multi_read().

Public commit record

What the developer wrote

Authored by Andrew Kozlik

62/100 · Adequate
feat(core): Optimize and generalize tropic_data_multi_read().
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Uses a recognizable type or scope! No meaningful explanatory body
The short version

What changed, and why it matters

This commit rewrites a function that reads data stored across multiple secure memory slots on Trezor's Tropic secure element. The rewrite reduces memory usage and avoids reading unused slots, but it also changes how the code checks slot boundaries and how it validates that the declared data length actually fits within the requested slot range. A subtle bug in the new code could allow reading more slots than intended or mishandling short terminal slots, though the commit appears aimed at hardening rather than introducing a vulnerability.

Recommended action

Treat as a code-quality and potential security fix requiring review. Verify whether the bare 'false;' line is a typo and should be 'return false;'. Add tests covering edge cases: slot_count overflow, out_length larger than max_data_length, occupied_slot_count larger than slot_count, terminal slot padding, and partial terminal slots. Consider running static analysis to catch the ineffective statement.

Security signals we found

01

Bounds-checking logic rewritten for multi-slot secure-element read

02

New slot_count overflow check using R_MEM_DATA_SLOT_MAX + 1 - first_slot

03

New validation that declared out_length fits in max_data_length

04

New validation that occupied_slot_count does not exceed slot_count

05

Likely ineffective statement 'false;' instead of 'return false;' after first max_data_length check

06

Reduced stack memory footprint by reading one slot at a time

07

Non-terminal slots now required to be fully utilized

Risk score

Why this scored 41/100

Our methodology →
Potential impact 12/30
Exploitability 8/25
Stealth signal 6/15
Affected reach 7/15
Confidence 5/10
Evidence quality 3/5
Human-validated context

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