Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EB2657161406B3B0293C3D97771BB2E62E3828AE786051693FD876D0FDBE50ED23529 |
|
CONTENT
ssdeep
|
384:LefFWHMrasbiVxwwHMpG+vZgpXBt3nbJ752+EksIYsOy2+y9BH4cUUIe:LefFy2wHw7gpdVY7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2459432bc3cb2ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
9cc0c0c8c8cccc00 |
|
VISUAL
wHash
|
06787060404effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc0c8c0c8c8cccc |
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.
Pages with identical visual appearance (based on perceptual hash)