Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5D29531A110363B41A7C3C9B762F35AA2E35349D78A091963FC836D4BE7E50EE6351B |
|
CONTENT
ssdeep
|
768:hSzy5N2a3XWGFPgdFSmDXVA0+TeUp7sOy2+y9BH4c1Ie:vWjC0+ii7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c341f53a963c99e1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c2c3e8cdc98b00 |
|
VISUAL
wHash
|
60f770300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,88cac3c2cccdc90b |
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.
Pages with identical visual appearance (based on perceptual hash)