Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0B381D61628438CA04B997DEF2FFE05031FB4AAB95889801A4FC66CD29F4D6F71752C |
|
CONTENT
ssdeep
|
768:p2u+j7dwrTwm0RQ7H3C/9PyfR8MRERXQHK51qRX0CX/9PyfR8MRERXQHK51qRXej:ky0RQ7H3CFsR8MLqczXFsR8MLqcMv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b14eb0e54eb0cec6 |
|
VISUAL
aHash
|
ff00000000ffffff |
|
VISUAL
dHash
|
09120000601e1c1c |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
09120000601e1c1c |
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 88 techniques to evade detection by security scanners and make reverse engineering more difficult.