Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D31C04015819C698509C1F4CBB1D64F1B52C766CF031AE042E48FAFA9EADD4CE922ED |
|
CONTENT
ssdeep
|
24:kpM8OupIguSvCqM5t+pY4GRc3u2xiIBb4IxcyN63yG0/JjO8iczpHvO7:AAupduS69L+8RoOIxL5jqmO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f373594c4c66664c |
|
VISUAL
aHash
|
00ffe7e7ffffff00 |
|
VISUAL
dHash
|
10080c4d00000010 |
|
VISUAL
wHash
|
000320203030ff00 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
4c0c4c0c00080000,0000000000000000,0008101010000000 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)