Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15733737913183E3C6517CBE4F7A4B7A4126D9246E66B906DD1BC22721AC7CC8F837AC4 |
|
CONTENT
ssdeep
|
768:Cg4D13333K5jGXXXX5XXXXrXXXXRekaNcFK:+13333MiXXXX5XXXXrXXXXckgc0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3aa758876a87688 |
|
VISUAL
aHash
|
e7e7e7e7ffe7efe6 |
|
VISUAL
dHash
|
0c4c4c0c100c0c4c |
|
VISUAL
wHash
|
0404242424240000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c4c4c0c100c0c4c,0030486161720400 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.