Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DD2C975A1106A3B0193D2CE72717B2B62E3834FEB460515A6FD83AD07E3D19DE2721A |
|
CONTENT
ssdeep
|
768:YJe87CztsylWvs5n60zl47sOy2+y9BH4c1Ie:iCWk5zl47sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d307b43cad34e586 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4c8ccc8c8888c00 |
|
VISUAL
wHash
|
467c64304044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
8c08808158d88000,d4c8ccc8c8c8888c |
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.