Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BB27531A1106A3B01E792D5B3A19B2B67E3834AEA46050186FC93EC4FF7D84DF37656 |
|
CONTENT
ssdeep
|
768:qQy5NSzK4MWp3YOtjj37sOy2+y9BH4crIe:dB37sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9369bc12cd0ec3e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9c0ccce0c8cc3c00 |
|
VISUAL
wHash
|
40c6e630004effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
5255494d4d595556,1080800458988000,9c0cccc8e0d9cc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.