RT-4D: реверс прошивки, русификация, кастомный UI, флешеры

- Полный RE стока V3.25 (Cortex-M4F) + FM100B: карта памяти, протокол, codeplug, UI-архитектура
- Русификация: свой CP1251-шрифт + патч рендера, перевод меню и надписей, ребренд Ru-4D V3.25
- Блюпринт переделки UI + C-тулчейн (clang thumbv7em), доказан инъекцией
- Готовые флешеры: WebSerial .html и Windows .exe со вшитой прошивкой
- Дамп SPI рации, стоковая прошивка, инструменты сборки

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

research/classify_regions.py

@@ -0,0 +1,75 @@
+import struct, collections
+
+DUMP = r"C:/Users/vikto/Documents/Claude/rt-4d/radio-spi-dump.bin"
+with open(DUMP,'rb') as f:
+    data = f.read()
+assert len(data)==4194304
+
+def hexdump(off, n=256, base=None):
+    if base is None: base=off
+    out=[]
+    for i in range(0,n,16):
+        chunk=data[off+i:off+i+16]
+        if not chunk: break
+        hexs=' '.join(f'{b:02x}' for b in chunk)
+        asc=''.join(chr(b) if 32<=b<127 else '.' for b in chunk)
+        out.append(f'{base+i:08x}  {hexs:<47}  {asc}')
+    return '\n'.join(out)
+
+def stats(off, size):
+    seg=data[off:off+size]
+    c=collections.Counter(seg)
+    ff=c.get(0xff,0); zz=c.get(0x00,0)
+    return f'size={size} ff={ff}({100*ff/size:.1f}%) 00={zz}({100*zz/size:.1f}%) distinct={len(c)}'
+
+def find_ascii_runs(off, size, minlen=4):
+    seg=data[off:off+size]
+    runs=[]; cur=b''; start=0
+    for i,b in enumerate(seg):
+        if 32<=b<127:
+            if not cur: start=i
+            cur+=bytes([b])
+        else:
+            if len(cur)>=minlen: runs.append((off+start, cur))
+            cur=b''
+    if len(cur)>=minlen: runs.append((off+start,cur))
+    return runs
+
+def detect_period(off, size, maxp=1024):
+    """Find best repeating period by autocorrelation-ish match on a window."""
+    seg=data[off:off+min(size,4096)]
+    best=[]
+    for p in range(2,maxp):
+        if p>=len(seg): break
+        match=sum(1 for i in range(len(seg)-p) if seg[i]==seg[i+p])
+        best.append((match/(len(seg)-p), p))
+    best.sort(reverse=True)
+    return best[:6]
+
+def compare_region(a_off, b_off, size):
+    same=sum(1 for i in range(size) if data[a_off+i]==data[b_off+i])
+    return same, size, 100*same/size
+
+regions = [
+    ("0x010000", 0x010000, 0x1000),
+    ("0x03E000", 0x03E000, 0x1000),
+    ("0x0D0000", 0x0D0000, 0x6000),
+    ("0x100000", 0x100000, 0x1000),
+    ("0x126000", 0x126000, 0x5000),
+    ("0x14C000", 0x14C000, 0xB000),
+    ("0x164000", 0x164000, 0x32000),
+    ("0x325000", 0x325000, 0x1000),
+]
+
+for name,off,size in regions:
+    print("="*100)
+    print(f"REGION {name}  {stats(off,size)}")
+    print("-- head --")
+    print(hexdump(off,256))
+    print("-- period (top ratios) --")
+    print(detect_period(off,size))
+    runs=find_ascii_runs(off,min(size,0x8000),4)
+    print(f"-- ascii runs (first 20 of {len(runs)}) --")
+    for r in runs[:20]:
+        print(f'  {r[0]:08x}: {r[1][:60]!r}')
+    print()