Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FF35C7882811C35CE9E436BBAB566762129C687D233484E87FC8147274FFEEDD90768 |
|
CONTENT
ssdeep
|
1536:V8fQ/qJ5KPdD5KCr3jSjQAnMllYtm5Rmhj7RU15Ct3tpP/aEsFkIpX11Rh4TnfPA:V1/XOCr3SZwXbRhKconZMTmZ0uU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2552b5990c57d1d |
|
VISUAL
aHash
|
028182f64ec0a301 |
|
VISUAL
dHash
|
a2156e8c9c092721 |
|
VISUAL
wHash
|
528186fe6ec5bb81 |
|
VISUAL
colorHash
|
30013000000 |
|
VISUAL
cropResistant
|
a2156e8c9c092721 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.