Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEA2545231085956C2F34CD899107A447282EB0FC8318770D6BC4E7F1BE2AA6B799F7E |
|
CONTENT
ssdeep
|
384:T2xiWilwjM6KfoM6KfBM6Kf5+URzB+FH+OrgFHLG6gz9DKKhH9h:yX7Kw7Kp7KHBufDKkT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad528e2570adda |
|
VISUAL
aHash
|
e7ffcfc3fffcfcfc |
|
VISUAL
dHash
|
0e18169600000808 |
|
VISUAL
wHash
|
00c7c3c33f243c3c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0e18169600000808,100c323232080000,49c9569498e48008 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.