Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7D29671B1102A3B129783C7B760F71FE3E29249D646190567FC876E4BD7E60DE2342A |
|
CONTENT
ssdeep
|
768:neFy5N3WJaFFgMh5JBsUTNIqsxk157sOy2+y9BH4crIe:4JawMheUTNCg7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d538b929a5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc5c3c3cd8cd300 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dccdc5c3cbcdacd0 |
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.