Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD235B726322B87883DB92EEF7383D56B2D5588DF8C74450B5C95A8E23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aG+EsZx8/G8yRF4rDat+M7BztCM7BpUcix+y9dQpUDF1E56ITmHDLBABW8KPqDve:aG+EsZ/8UOrDat+M7BztCM7BpUXx+y9t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9bd665b165d064c5 |
|
VISUAL
aHash
|
bdbdbdbdbdbdbd81 |
|
VISUAL
dHash
|
6979717979797969 |
|
VISUAL
wHash
|
8d3c3c3c3d3d3d01 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
6979717979797969 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.