Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128327173A600CD6A4D9746CCF2C49688512DC346FB3248CAB1A091FF7BC4DF0A9997AD |
|
CONTENT
ssdeep
|
192:pod3JYdeY6SX2mKrx5McnthWeNWbHuwfMmUU8VCozx:W8eY6SX1TuwfMmUFCozx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed2c3c6d63b29443 |
|
VISUAL
aHash
|
8181ffe7e0ffffff |
|
VISUAL
dHash
|
3333204d4d000900 |
|
VISUAL
wHash
|
8080c0c0e0fefdfc |
|
VISUAL
colorHash
|
07402008000 |
|
VISUAL
cropResistant
|
3333204d4d000900,0005050007161617,000000c020202020,100c32b2b20c2000,db8d9953d66646ce |
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.