Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5E2A675A200263F0197C3DDB352BB2FE2D3924AC706091652FC435D4BE7E94EE2796A |
|
CONTENT
ssdeep
|
768:LTy5Na4dwd8nAarF3O/BN7sOy2+y9BH4c1Ie:Kdw4NBO/BN7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361b83fad03cc9a |
|
VISUAL
aHash
|
000060200000ffff |
|
VISUAL
dHash
|
8cccc8c04040d800 |
|
VISUAL
wHash
|
00e0fe702030ffff |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
d858808158d88000,9ccec8c04860c0dc |
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.