Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B74150B38A008DA61715C6D0B3427B4D92C3C8A4BAA146C7A7F682A83B97DD760746F4 |
|
CONTENT
ssdeep
|
48:Nzuo5aTVe9UUM5UoQUd2UMy59js80UZKLjl3U1L:c2PMmYdPMgm8zK6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b133ce4c1c9a7969 |
|
VISUAL
aHash
|
91e7c7c7c3c3ffff |
|
VISUAL
dHash
|
238c9c8c9e8ef4cc |
|
VISUAL
wHash
|
00464246c2c2fefe |
|
VISUAL
colorHash
|
07206000040 |
|
VISUAL
cropResistant
|
238c9c8c9e8ef4cc,82a2c6d0d0d4a692,73313967676c4c98,7971b3e7e5ad2528 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.