Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDB39C33421935274537C2D530A95B77E2969E4FFAA70A010EECD7FB2BEACA0745B019 |
|
CONTENT
ssdeep
|
768:0qi9IIPUaxZ/DFTk9PhwfjTOIhIEBa4MuViCpAylmQzP4V:0qi9II/ZRTk9PSGIhIEBa4MuoRylmQzy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
863ef061f7636740 |
|
VISUAL
aHash
|
001f1f3f3f3f7f7f |
|
VISUAL
dHash
|
79f6e06cecd3c3c0 |
|
VISUAL
wHash
|
001f1f1f1e303c7f |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
34f2ec6cfcc3c3c0,ffff9f6969dfbfff,35db573e5fb8366c |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.