Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1763319F853A5E6FAE101D3E4DB660539735611FAEA82C710C3FD9F9C98D588EDC48881 |
|
CONTENT
ssdeep
|
768:BhXTRlXND9bVOvuO9IvIRVCiCbDrkleEQ8hXTRlXND9bVN:7RFVUuOVadUhRFVN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb2ac459d9c493d2 |
|
VISUAL
aHash
|
ff0101010d0cffff |
|
VISUAL
dHash
|
b70f8f5b5919d8c0 |
|
VISUAL
wHash
|
ff0101010d0cffff |
|
VISUAL
colorHash
|
1b2000c0002 |
|
VISUAL
cropResistant
|
b7172f1f9b5b1919,b05000089894b4e4,8080c0c08464e2e0,170f2f9f5b591919 |
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 162 techniques to evade detection by security scanners and make reverse engineering more difficult.