Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEB2C71170DA743F0BAB43CFAD3167A8F197832ADB203E850BA49B2A97D7E954C1315D |
|
CONTENT
ssdeep
|
768:KwHVcy8wU3bqyDgOmnFFHxTYtkDIJlhgX:nHVcnNLDgOmnFFHxTYtkDIJlhgX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9753476c6c3d3131 |
|
VISUAL
aHash
|
003c0effffbfffff |
|
VISUAL
dHash
|
c4d8d878787878d8 |
|
VISUAL
wHash
|
003c0c3e3e3e3e7e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
e0dcd868387878d8,01c496d4d4968904 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.