Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAC28331B1047A3B129383C9B761F75FE2E3520EDA86051593FC83AD4BE7D54DA23529 |
|
CONTENT
ssdeep
|
768:SSkZO1I9kiHXhK1tGp7sOy2+y9BH4cLIe:bWv7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc6dc54696b2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
c488ccc4c8e0cc00 |
|
VISUAL
wHash
|
00002c7c7878ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
6080800458988000,c492ccccc8c8c0cc |
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.