Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDA1C5308201A927B112E4C4BBB6EB0B6182C642D757171157F857AFF5CDDB5CD322D8 |
|
CONTENT
ssdeep
|
96:T0p7b9qHzoK15BavSVHZG9m+ZaqGbXRz+i7QqO:k7b9q912me4bXLQqO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e64c331919766e59 |
|
VISUAL
aHash
|
00e7e3e7ffe7e7e7 |
|
VISUAL
dHash
|
4d0c45454c4d4d4d |
|
VISUAL
wHash
|
00c3c3c3c3c3e7e7 |
|
VISUAL
colorHash
|
060020000c2 |
|
VISUAL
cropResistant
|
4c4545044c4d4d4d,8001454545454100,989222122666d2c0,00086471723a0400,3132f0ec69a8b290 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.