Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142235BB26322B4A843DB91DEFB382D56B2D1489DF8C74450F5C99A8D23C3C857287BB4 |
|
CONTENT
ssdeep
|
768:aq+EsZx8/G8cRF46DawXMaBNMwpMaBN7wlr82+/9dtZkDieE565ThHbjoZDWphfx:aq+EsZ/8mO6DawXMaB2wpMaBVwZ82+/k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfd891d4d1c1c5c4 |
|
VISUAL
aHash
|
8581818181818181 |
|
VISUAL
dHash
|
697161494d4d4d5d |
|
VISUAL
wHash
|
ff81bd8181a1a5a7 |
|
VISUAL
colorHash
|
01007000000 |
|
VISUAL
cropResistant
|
697161494d4d4d5d,dcf4d4dcdcccdcdc |
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.