Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7234A726332B87883DB92DEB7392D46B2D65899B8C74414F5C95ACE23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:az+EsZx8/G814DDatpMmB+tXMmBwUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtA4:az+EsZ/8+DDatpMmB+tXMmBwUXx+y9dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbe4ed9390e4c191 |
|
VISUAL
aHash
|
ff8181858d8d8181 |
|
VISUAL
dHash
|
0369474d59494349 |
|
VISUAL
wHash
|
ff8181878dad81e9 |
|
VISUAL
colorHash
|
32000e00000 |
|
VISUAL
cropResistant
|
0369474d59494349,1fdfceaee6c6d060,0338828c9cc88aca |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.