Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1715385B123024F6ED9D782D5FB603B39A15A934AC6579C4DF3F90057AB83D28EC563A0 |
|
CONTENT
ssdeep
|
768:423t789/KdhYbYHxJ2DsUA2dFIfadsFn2AHaWIpHaWcBHaWq/HaW0Bd7h1CqcU9p:423t72ctK2ZL7ekMnkF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c58f5f32426c707 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
16317135f9cc1d92 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
13c01000000 |
|
VISUAL
cropResistant
|
6a68139b4c3a92d2,ccccc1183cc552b2,9639317071353579 |
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 138 techniques to evade detection by security scanners and make reverse engineering more difficult.