Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B92B832A0502A3F116787C97793B72ED1D39289E745180997FC47AE8BD7E90CD2392B |
|
CONTENT
ssdeep
|
384:ZEqy5NQSdhHhq7NpNbIIIIIUCJYJj0J/10yPjFFYIYsOy2+y9BH4cCUIe:eqy5NQMHuIIIIIUgSj0J/10yPjfY7sOV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83ac3c9c7b26938 |
|
VISUAL
aHash
|
f99e868f91f1fffe |
|
VISUAL
dHash
|
43343c3c33b3c890 |
|
VISUAL
wHash
|
f08c04070371fffe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
43343c3c33b3c890 |
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.