Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2A22C2AE1C0161A03537191FF1239E7D178899CF375E054DDEA87A26381EB881BB7F9 |
|
CONTENT
ssdeep
|
384:Rj1QbWTejJBvZs6dMqMmM4tySz4PslYWCg7cYswad:11QbWTe9B2X4tvcPslYc7cYsRd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95bd786263253555 |
|
VISUAL
aHash
|
42ffff3f00000000 |
|
VISUAL
dHash
|
8620764ec8d0c0c4 |
|
VISUAL
wHash
|
f2ffffff30000020 |
|
VISUAL
colorHash
|
30007000040 |
|
VISUAL
cropResistant
|
0593c3c7c2968f7f,1075f4b8b49c9c64,8620764ec8d0c0c4 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.