Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10713CB306800ED2B01CB99E9967A5666A3F49354C6530688FAF4C3FD5BEBD68DF33064 |
|
CONTENT
ssdeep
|
768:H+yqQ3uIDaqzrKpZ4LwY86PZ5dfyqA4tITgIJcZaSxa9THrAm3nsIx/jwUf7gLpU:H+yZ3uIDaqzrKpZ4LFTPZ5dfyqA4uT5Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f704d23fc02f8572 |
|
VISUAL
aHash
|
0000030b0400c0ff |
|
VISUAL
dHash
|
dcd4c6db587a1900 |
|
VISUAL
wHash
|
0702070f0f8fc3ff |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
7ce7e78f9ffedcf1,3ce7e7cf9ff7dcf1,7cefe78ebffed8f1,d9587a5e5f1f8170,dcd4c6d3587a1f00 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)