Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131E2D83271107A3B42AB93D9B3A2F71AE2E78245E746040192FDC3AD4BE3D55DB33526 |
|
CONTENT
ssdeep
|
768:BSky5NASHOZCezEjosdI7sOy2+y9BH4crIe:EH+rF7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc1aed2ec1a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
92ccccc2caccec00 |
|
VISUAL
wHash
|
00e4f470202cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,928cccc2cad8ccec |
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.