Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8D2A331A0002A3F229783D97B50F75EA3E39289D746091552FD836D1FDBE94EE2352B |
|
CONTENT
ssdeep
|
768:PSFy5NAxAnAX6udRoE7sOy2+y9BH4c1Ie:cAnAqEh7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372f82ecd2d84c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0408ccc0c80c0f00 |
|
VISUAL
wHash
|
00ece4203c06ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,94088cc0c0cccc0f |
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)