Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110122274A2968EBA91C3C7E3F764BF65239DD38BC6039655B2F4C2D80B8DD56DC02210 |
|
CONTENT
ssdeep
|
96:bZOJwGn9JSz9JbBCvw1INzqVCEPUiwU7263yYgsQ:bZOp9J+9JbAvaINQ8iylsQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8855a2f7d0a9d5aa |
|
VISUAL
aHash
|
000018187c3e3f7d |
|
VISUAL
dHash
|
d832b232d4d8fbd1 |
|
VISUAL
wHash
|
040018187e7e7fff |
|
VISUAL
colorHash
|
38001000380 |
|
VISUAL
cropResistant
|
d832b232d4d8fbd1 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.