Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17945F860F2922833312F82D0E46D77096593F76ACA410BC1E6F447746BFBCBA742A59D |
|
CONTENT
ssdeep
|
12288:IHDFh8AhfqVZ6JUqAUAnE+7xPl+pG8G8GwPwGeGMGTP4g2QS751Sy0xeNNvd:sDPhfqVZ6qlN1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c959343e5b4b26a3 |
|
VISUAL
aHash
|
00ff7d10f8ffffff |
|
VISUAL
dHash
|
10bec1b13be0e0c9 |
|
VISUAL
wHash
|
00ff5010d0ffff01 |
|
VISUAL
colorHash
|
06006018000 |
|
VISUAL
cropResistant
|
8000008282820082,b8c9f13b63e0e049,4141808082002090,cec6023c0c338bba,4c0640784f713024,1a33e3eb61422624,1f71ec9923ce9c3a,03864f6ced3e1686 |
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 2596 techniques to evade detection by security scanners and make reverse engineering more difficult.