Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157335B766771B8A883DB41EEFB382D5AB2C5449DE8C74400F5C9968E13C7CD16287BB4 |
|
CONTENT
ssdeep
|
1536:aE+EsZ/8XbDVRJMjBURuMjBVrpRXPZlQaQD9OehM+BrUgq4FJ:aF2RtRprpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f9665d265659161 |
|
VISUAL
aHash
|
bdbdbdbdbdbd8181 |
|
VISUAL
dHash
|
697979797979793f |
|
VISUAL
wHash
|
853d3d3dbdbd8100 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
697979797979793f |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.