Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157335B71B631B83957EB50EDE33C7646A6D1994DF8C74800B1D81ACE63C3CA63252BB8 |
|
CONTENT
ssdeep
|
1536:adWQPxTuekkmSfkutjM7BEtgM7BAYrM7BsYoM7BNC7UXx+y9dQyDF1ZAU84HaXC:adlRsutHtiYRYy7UXxpDzHyC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b232cfcd18386667 |
|
VISUAL
aHash
|
02c7c7c7ffffffff |
|
VISUAL
dHash
|
16080c9c00200000 |
|
VISUAL
wHash
|
00c7c7c7e0f0f0f0 |
|
VISUAL
colorHash
|
070000001d0 |
|
VISUAL
cropResistant
|
16080c9c00200000 |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.