Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199045030D3049D3DB527C2D1E734B72A21249381D31E1B589AB5077AA9C3DBAAD37ADC |
|
CONTENT
ssdeep
|
768:BVY0wmItnmItgfL1u2IO8RqT3tzWKrh2qRAu42d0kP/1lMUY1Uf7x:BVY0wXQfL1u48Ijhrh2yM27x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c19c34379ec1e53c |
|
VISUAL
aHash
|
0600787c30702000 |
|
VISUAL
dHash
|
d433f2d1c0c6d224 |
|
VISUAL
wHash
|
7ed8f87c78727800 |
|
VISUAL
colorHash
|
380022000c0 |
|
VISUAL
cropResistant
|
d433f2d1c0c6d224 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.