Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18691F13B78586E356322CAD4DED771488051E8FBDB1724C7F2D0DA5D6BE8DD84A1220E |
|
CONTENT
ssdeep
|
48:76BkTlJ7AYF6K5Z5SMJR8U7pj09OH9EFNbqx+JqNAQ249YF51NA7:7MkTlJ7AYQ+DljqNzby0etYF51c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9434ea6b9d04bb71 |
|
VISUAL
aHash
|
06060636020060ff |
|
VISUAL
dHash
|
acac84f4d4c084c3 |
|
VISUAL
wHash
|
0666463e5e7060ff |
|
VISUAL
colorHash
|
0b200000030 |
|
VISUAL
cropResistant
|
f0effed6d8e8989a,b3a4e6d8c1c163e3,e0d0a0303929293a,84c9d0c084008080,acac8cf4d4d4c484 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.