Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EE3A4D56218138C9157CABDEF2FFE05131FB1AABA554680298EC26C95CF8D2F71392C |
|
CONTENT
ssdeep
|
1536:Ga0RQ7Hcn+bQNahYuCMe2cqH0HwNkp2bDrlFsR8MLqc3oFsR8MLqce80:70RQ7H0jaFH+tPy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b51ef0cbc3e27026 |
|
VISUAL
aHash
|
ff1f030f3fefc7c3 |
|
VISUAL
dHash
|
09353e5c711e1e86 |
|
VISUAL
wHash
|
bf1f03070fc3c3c2 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
09353e5c711e1e86 |
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 154 techniques to evade detection by security scanners and make reverse engineering more difficult.