Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131B1A882D108240A62139581EDC7F341A23A8612D7477A26FBB910E7E6DFFF4C17A763 |
|
CONTENT
ssdeep
|
96:auhymZ1Ba54YpK0y2y1/YG9tiz9k1ADZPiyw:D8p1vyBYV9tDZP4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a34973670ce3cc66 |
|
VISUAL
aHash
|
00001e3f01ffffff |
|
VISUAL
dHash
|
e2d2f4ecebcecece |
|
VISUAL
wHash
|
00001c0703ffffff |
|
VISUAL
colorHash
|
03003000180 |
|
VISUAL
cropResistant
|
fceceeebcececeea,c0f2c2d4ececeeeb |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.