Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2B29731B100363B0157E3D9B361E36A63F2A385EA5A091542F9D36C8FE7CA0DF6751A |
|
CONTENT
ssdeep
|
384:gee/y5N1IdqR6akDtsKQCtezGlMPAm6gvfl3oaIYsOy2+y9BH4cUUIe:fe/y5N1zIlUlf7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c366fc389969c38c |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4cccc2ccccc300 |
|
VISUAL
wHash
|
00eef6602400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
4080800458988000,844ccccec2ccccc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.