Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F513A57E60C4667605C356A1F3209A4BE76C8148D276DA9AE5F7C2490AC3CFCCD9B2DC |
|
CONTENT
ssdeep
|
768:yqijOPA8x1Z6raiVXHnuPK9lNSx6nexPeA/Fv7FLuvXOMLDesvWUpfitWOzJ9ogw:yqIOP9xyaynuP8NZexPeyFvtuvXpDjvl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
916ab8b1ceeb94a1 |
|
VISUAL
aHash
|
ff0000006e6e4e4e |
|
VISUAL
dHash
|
71f0d4e0dcdc9cdc |
|
VISUAL
wHash
|
ff0014007e7e4e7e |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0001416363c90006,d28fcbcb8e8ec694,96d6e8e0d4170f8e,53c08390e0301cc6,5c4ea36064585a31,32d0d8ecdcdc9cdc |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.