Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154D144E1C108DE37471286C5F7F56B5FB6D2C349CB06098493F883ABABCAC60CA65599 |
|
CONTENT
ssdeep
|
96:TkkXcze3STBjGpISS8ct7hluwvFwetbXBdHFYeNXfX/kYtmMQ50YUST5J:QkXczeipGpW7lDNx1XMYYMQ50Kb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87643832c7e3c73a |
|
VISUAL
aHash
|
0002363737370d09 |
|
VISUAL
dHash
|
fcfc6c4c6d6df9db |
|
VISUAL
wHash
|
00073737373f0f0f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
fffbfeecd870e081,6a60624e32626ad2,fcfc6c4c6d6df9db |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.