Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F327373A600DC2A8D9751C8F6C49589815EC349FB3148C6F2A491FF3BC4DF169AA3AD |
|
CONTENT
ssdeep
|
192:a2dok1eaxhMcnthWeNWb4HVfMmUU8VCoH2:xok1HVfMmUFCoH2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3a64d31b14cf433 |
|
VISUAL
aHash
|
e7e7e7ffe70000ff |
|
VISUAL
dHash
|
0e4d0c9c0cccf000 |
|
VISUAL
wHash
|
c3e7c7c7c70000fe |
|
VISUAL
colorHash
|
07201018000 |
|
VISUAL
cropResistant
|
0e0c4d0c1c0d0d40,0000000000000000,0000000000000000,100c32b2b2320c10,00dcd4c400716900 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.