Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138F27431A251AE3B40A7D2E5E3B5632B22D6938AC947034583FC83BD0EFBD94FD26554 |
|
CONTENT
ssdeep
|
768:BarxyFbWIOM/qjIoAGMy72fLzIGOFIoVhL:zbWIOcIhFjn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9aba45ea5d29d12a |
|
VISUAL
aHash
|
fdff8f8f9fff0000 |
|
VISUAL
dHash
|
2b7c1c3828180742 |
|
VISUAL
wHash
|
b99f8f8f8fcf0000 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
2b783c1838281827,030222020222c0c4,0081246448900000 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)