Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EE1FDF0D440ED3B435385D9A7BA6B0B77A1C349CB030A4567F883AB9BDAC60CE1569D |
|
CONTENT
ssdeep
|
96:TkmdnbzD71tDht8v67MddaSS8ctmMT6zdF1KX2HFkKXFz/Eff2J:QmdnbzD715ht8iIPYYMmzH9zwfw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9b94646b1314ece |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0018301010200000 |
|
VISUAL
wHash
|
ffffffcf00000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0010183020101000,0000000000000000 |
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.