Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16854CD234259392A4037C2E520A95B3BD1AADD4FFAE709410EDCD7F727FACA0741B259 |
|
CONTENT
ssdeep
|
1536:D4LrskcYva9tMbXlOJi55R+Ovb0ENWy01jpV0H8ArXvUd0gAK6Fyg0p6mFAKJOpI:yCMw9EvGpV29kNp6mCKoGI1Gt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e85286b4347eb6e4 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccc98b3393202706 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,2949ca242438dad9,3f4b6f3331e4c5e5,b166739591994b4b,38789d9c8c8c8d8f,55d5aa2a4bc94103,86a896868696a882,0a02373723070600,84e9e9c38b2b9313 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.