Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FE27432A1240F3B149782ECB5F57A1B64F2C25CCA09110F91AD5BEA96EFC44FD4B369 |
|
CONTENT
ssdeep
|
192:xNBKf4ZYhBfhHkGkukqpmfl9lXGt32JZ7kppm6rJzMkppm0tdZD8R9ukTpmKikjT:TYhBfhvA7JApthMYdzEL96iMJpI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99194c6666b3b333 |
|
VISUAL
aHash
|
0018ffffffffffff |
|
VISUAL
dHash
|
b2b232104c0c0000 |
|
VISUAL
wHash
|
000008c3c7e7ffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
b2b218140c0c0000,200c32b2b2b2b2b2 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)