Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EA2A433E0502A3B51A383CD7761FB2EE1E7928CD785190656F84B9E8BE2ED0CD1745A |
|
CONTENT
ssdeep
|
384:pCy5Npd2VzKu9A4he3h+zvIIIRP4fnpd/3R/iRsL/nKrdZcPXCRIYsOy2+y9BH4y:pCy5NpdT3h+7IIIZ4fnpd/3R/iRsL/nQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8229bc32f56396cd |
|
VISUAL
aHash
|
000020200004ffff |
|
VISUAL
dHash
|
9fc7e3c9cc0c4300 |
|
VISUAL
wHash
|
00337170300effff |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
fbff696969ffffff,0080801858808000,8fd7e3c1c9cccc4f |
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.