Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157D2B831B1106A7B52A7C3CDB7A2B31FE1E3520ADA87046852FC83AE47E7D55DA23119 |
|
CONTENT
ssdeep
|
768:msSkZDv7gc2kXxsaagVC3fDX7sOy2+y9BH4c1Ie:5TL0X7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c262ed6d9842d3e3 |
|
VISUAL
aHash
|
000024040000ffff |
|
VISUAL
dHash
|
dcccccccc8c0c300 |
|
VISUAL
wHash
|
406466740c30ffff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
ceeec03434c4dede,0080800458988000,cc8cccccecdcc8c6 |
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)