Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19414C97263641A2E61970BF4E765F369703AD2AFF8CF9854A379439353CDC829E035A0 |
|
CONTENT
ssdeep
|
768:uxx0UxoZIiRro9+uCoxpz4XboB2Wa5YolH8SgoCdyVo8p1fuCox94tjocpG4HoB4:utgmAR4MzXdCoxc4dpLKvvLMB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea8d948996c3a9b6 |
|
VISUAL
aHash
|
ff8181a18181e5a5 |
|
VISUAL
dHash
|
70130b6929134d4d |
|
VISUAL
wHash
|
ff8181b18189e5e7 |
|
VISUAL
colorHash
|
03038000001 |
|
VISUAL
cropResistant
|
6068686803616100,012e263638484747,b4b4b4b4b5b4f1f1,f9fffeff32dadab6,b490a2d6b6ac3434,d995b4a464645498,a5b696b6f6fcecec,131b496933534d4d,1616c7262727c62d |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.