Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBE2A431A159793F0597A3D2FB71A35BA286838DE943031A42FD8B4C4FDAC91DD038DA |
|
CONTENT
ssdeep
|
384:tdIIokTIIIII9ilBmlxSb5bxv6rKGHI63WQvpW:vIIhIIIII5SNdv+KB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c19396396 |
|
VISUAL
aHash
|
00f3e7ef7f3c1818 |
|
VISUAL
dHash
|
8fc7cfdbe5e0f0f0 |
|
VISUAL
wHash
|
00f1e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca8d988c0c,0008c4d4c4440000,8fc7cfdbe5e0f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)