Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FC29872A150273B12A782C973A1FB1EA3D3828DC789151583FD87AD0BD7E40BE3755A |
|
CONTENT
ssdeep
|
384:8e4/RrdyubT0p5xy93kIwEOkzTTEu34ap0KIYsOy2+y9BH4cCUIe:8e4/7ubIwkzEA4aP7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b139bc3ce4e4 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
ccc9ccc4c8c8c800 |
|
VISUAL
wHash
|
027c7c302060ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
c880c80458988000,dcc9c8ccc0c8c8c8 |
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.