Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D231AF1B314A2FB658B8FF9F130AE9D756F10DDAA534918C2DA86D057D1E88CE48980 |
|
CONTENT
ssdeep
|
768:weL5SCMsqYgVD/riegQZ5JQJ6i0P1GnHc5gZo9zmiFd:PL5SCMsqF5ieg25JQJ6i0P1GnHc5gZo3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4644e8e9b9939b1 |
|
VISUAL
aHash
|
f7e3c3e7ffffe700 |
|
VISUAL
dHash
|
0686861e0c0e0c0e |
|
VISUAL
wHash
|
c3c3c3c3c7e7c700 |
|
VISUAL
colorHash
|
07031000040 |
|
VISUAL
cropResistant
|
0686861e0c0e0c0e,8296a6b5b3367a7a |
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 351 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)