Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6D2A432B0103A3F22A7C2C97751F72EA3E35688D686051993FD835E4F97E50DE1392A |
|
CONTENT
ssdeep
|
768:j+SFy5NRVjStiEF8p2+O77sOy2+y9BH4c1Ie:OStig8E+O77sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f838cc2d81c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1848ccc0cc0d0f00 |
|
VISUAL
wHash
|
00ecf0203c05ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0480a00458988000,9408ccc0c0cccd0f |
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.