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	Fixed a bug where corrupt exif tags would make the analysis process stall.
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				| @ -154,6 +154,12 @@ GPS_TA0GS = { | ||||
| INTEL_ENDIAN = ord('I') | ||||
| MOTOROLA_ENDIAN = ord('M') | ||||
| 
 | ||||
| # About MAX_COUNT: It's possible to have corrupted exif tags where the entry count is way too high | ||||
| # and thus makes us loop, not endlessly, but for heck of a long time for nothing. Therefore, we put | ||||
| # an arbitrary limit on the entry count we'll allow ourselves to read and any IFD reporting more | ||||
| # entries than that will be considered corrupt. | ||||
| MAX_COUNT = 0xffff | ||||
| 
 | ||||
| def s2n_motorola(bytes): | ||||
|     x = 0 | ||||
|     for c in bytes: | ||||
| @ -214,6 +220,9 @@ class TIFF_file: | ||||
|     def dump_IFD(self, ifd): | ||||
|         entries = self.s2n(ifd, 2) | ||||
|         logging.debug("Entries for IFD %d: %d", ifd, entries) | ||||
|         if entries > MAX_COUNT: | ||||
|             logging.debug("Probably corrupt. Aborting.") | ||||
|             return [] | ||||
|         a = [] | ||||
|         for i in range(entries): | ||||
|             entry = ifd + 2 + 12*i | ||||
| @ -223,6 +232,9 @@ class TIFF_file: | ||||
|                 continue # not handled | ||||
|             typelen = [ 1, 1, 2, 4, 8, 1, 1, 2, 4, 8 ] [type-1] | ||||
|             count = self.s2n(entry+4, 4) | ||||
|             if count > MAX_COUNT: | ||||
|                 logging.debug("Probably corrupt. Aborting.") | ||||
|                 return [] | ||||
|             offset = entry+8 | ||||
|             if count*typelen > 4: | ||||
|                 offset = self.s2n(offset, 4) | ||||
|  | ||||
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