Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116C2A672B0002B3F5157D3C9B722F35EA2D2A289D745081952F8D75D8BE7E90DE2352B |
|
CONTENT
ssdeep
|
768:kZe/y5NT7QfFnhH0LPBYb7sOy2+y9BH4crIe:lFt0L27sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c347fc38992cc783 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
044ccccacccda300 |
|
VISUAL
wHash
|
40eef6202400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944cccc6dacccde3 |
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.