Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177C29632A1006A3B41D792C97371E72FA2E3538EEB460515A2FD83AD4BE7D94CE33516 |
|
CONTENT
ssdeep
|
768:5Sby5N18dmTCeoCeco7sOy2+y9BH4crIe:id/weN7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc32e93c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8cccc4c8c8cc3c00 |
|
VISUAL
wHash
|
00fe6820600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d9e9e714596,1080800458988000,9cccc4d8e8c9cc3c |
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.
Pages with identical visual appearance (based on perceptual hash)