Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100337439E3244235D7194BCCDAE5981A142C00CE263466DCF72D5AB2F9F8DEE1877B92 |
|
CONTENT
ssdeep
|
768:eXGEbuv6jyBwn5lQGxE8tJbN7+khw0Zfokslp0ZfkLPkxV:hQLHjb5Hh99GwxV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f827873834a7494f |
|
VISUAL
aHash
|
e7c7c9c3c8c8ffff |
|
VISUAL
dHash
|
0e1c1b93b1911400 |
|
VISUAL
wHash
|
c787c1c180c0d7ff |
|
VISUAL
colorHash
|
07003200080 |
|
VISUAL
cropResistant
|
0e1c1b93b1911400 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.