Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CE163B2D454CD360B6181C2FBB23F6FBAB1C246CB47095463F403AE57CAEA1CA52599 |
|
CONTENT
ssdeep
|
192:kvLvHvQU2z8hh9vMc/Qw3YM4EtvQOYM4EtvE8U8F:kvLvHv9EK9vMc4wIMPvQnMPvEN8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5db92d2097c04f6 |
|
VISUAL
aHash
|
ffffc3c3c3c3c343 |
|
VISUAL
dHash
|
2806069696960686 |
|
VISUAL
wHash
|
e7c3c3c3c3c3c303 |
|
VISUAL
colorHash
|
07202040040 |
|
VISUAL
cropResistant
|
2806069696960686,860343c11393171e |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.