This is a project which aims to identify Social-Engineering in the domain of digital-forensics & cyber-security.
we reffer to the issue of attackers who abuse the graphical-similiarity of strings, in order to harden the detection and the analysis of their attacks.
for example, an attacker can plant his malicious file in the next path:
C:\windows\systern32\ntd11.dll
this path is actualy very similiar to the legitimate system-file path:
C:\windows\systern32\ntdll.dll
and a security researcher (a hunter) can mistake the forged it for a legitimate file.
the phenomenon of graphical-similiarity is called homoglyphs.
a homoglyph is one of two or more graphemes, characters, or glyphs with shapes that appear identical or very similar (https://en.wikipedia.org/wiki/Homoglyph). example:
this is NOT a homoglyph. ｔһⅰѕ Ꭵｓ ａ ｈоrnοɡⅼｙрｈ
that was created using this cool online tool:
print-homoglyphs-permutations\main.py