Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13705047AEC0C6A09707A75CDE3DC4D8FE995F357E76218E696C5CF30818A814B81A87C |
|
CONTENT
ssdeep
|
1536:TCrQNhNC8eqkfWKw1FwkGutEqshNC8eqkfWKwFPw+cutEMnmdIr/Vf8LQg/93ZFS:erQNhNSBGEqshNSBGED3TVpXy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9794e47331b4919 |
|
VISUAL
aHash
|
00dfc9cfcfffffff |
|
VISUAL
dHash
|
79129393921272d2 |
|
VISUAL
wHash
|
0048494bcb8b9efc |
|
VISUAL
colorHash
|
07000200038 |
|
VISUAL
cropResistant
|
79129393921272d2,041a5a7a3a1a5a04,7098b3337b072309 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 4 techniques to evade detection by security scanners and make reverse engineering more difficult.