Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C41262F0D454EF7A435682D4F779BB8B76A1C345CA06094453F882BE9BC9DB0CE2698C |
|
CONTENT
ssdeep
|
96:TkRLm2Z0Iz8inzSSOMbStqRjJWwyt7edZFBOX/HFGGX3X/3t7L7yt7v6gJ:QGIz8inXV5JWwyMMxXv17yxP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec13931bcc1ac3 |
|
VISUAL
aHash
|
fff3f3f3ffffff00 |
|
VISUAL
dHash
|
0e06262606180000 |
|
VISUAL
wHash
|
e3819181d1ffff00 |
|
VISUAL
colorHash
|
07000200230 |
|
VISUAL
cropResistant
|
0806262626000000,e20e627248b6fa02,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.