Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2040973224C193752A62DD0966F33877F37ABC376171142D90443423EE688AEDEA6DE |
|
CONTENT
ssdeep
|
1536:d1w346b4q45dW9IUIyF8+A/GXvTLQmDD1sehTvrS98zzYrSQDYq/DnurZgLDAKSU:0XRyJTVvUnB9GONRdWcoWSr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e51b1e6571536459 |
|
VISUAL
aHash
|
00ffffc3c3c3ffff |
|
VISUAL
dHash
|
86202f1717160b33 |
|
VISUAL
wHash
|
009fc3c383c383ff |
|
VISUAL
colorHash
|
06000008006 |
|
VISUAL
cropResistant
|
86202f1717160b33,006196969e966281,0d869e8e1321e566 |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.