Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AE2B631A048693F069B73E1FB71A35BA2D58389E9434729C2FD878D0BEBC90DD164D9 |
|
CONTENT
ssdeep
|
384:waII2kw8IIIII9DlBMHRb9bUwiHe7BppG8c8fYHadsWgN6oPSRXOea4HQ8pW:lIIxIIIIIabFUwiHetpphUHamWgNkVap |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c3961c69c |
|
VISUAL
aHash
|
00e3f7ef3f3c1818 |
|
VISUAL
dHash
|
97cfcdcbf1e4f0f0 |
|
VISUAL
wHash
|
00e3f7ef1f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca8d988c0c,0000c8c4c4c00000,97cfcdcbf1e4f0f0 |
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)