Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146E2B5329109693F06A772D1BB70A35A739583C9DA43072A43FDC78C5FEAC50EE174A5 |
|
CONTENT
ssdeep
|
384:BAIIsZIIIII9OlBqawsBYtkvHcPqjAIXaK+BSeLiGpW:mIIKIIIIIikCpXz+ob |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e3713c9c1963c3 |
|
VISUAL
aHash
|
00e1ffff7f181838 |
|
VISUAL
dHash
|
c7c7cbf3ed73f0f0 |
|
VISUAL
wHash
|
00f0ffff7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d2ee9c988c0c,0000616969600000,c7c7cbf3ed73f0f0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.