Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD139526E2301E3A508FF3F0E25967C692A79352C7C217D0E2DDA34997DACA19B4375C |
|
CONTENT
ssdeep
|
768:HAptRXYA8ncn5n6HRGAiGYOGWlGi3ncn5R6KbDoh+exeeAYpwLyN0:HAptQRGAiGYOGWlGi3KbDA+exeex0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
991e663b194e3333 |
|
VISUAL
aHash
|
003b7e7e7e5e7e5a |
|
VISUAL
dHash
|
7973d8b2d29a9292 |
|
VISUAL
wHash
|
00087e7e6e5e5e5a |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
80c0606060604080,73d2d0b2da9292b2,12313171793131c6 |
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 376 techniques to evade detection by security scanners and make reverse engineering more difficult.