Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D924F30C410B93B02E7D2C85B329B5AB2D2C286DE2B574967FDD39C0BDBC95DDA6112 |
|
CONTENT
ssdeep
|
384:tiTwIplQNlZtdLo/TCpnAmABAcWsJ/KdOKFKrrKiK5Zft:tiZQNlZtd3pnAmABUsJ/oOmmfwF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc1d625da3359875 |
|
VISUAL
aHash
|
0018183c38180000 |
|
VISUAL
dHash
|
60b0b2b2b2b2f0c5 |
|
VISUAL
wHash
|
00383c7efe3c7871 |
|
VISUAL
colorHash
|
31202200040 |
|
VISUAL
cropResistant
|
8e8e8e8c8a8c8c8a,60b0b2b2b2b2f0c5 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)