Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EF2B6F56328983E61A7C2DAE731337E31E59299CA0B0610D3FC876C5BC6DA5FD11486 |
|
CONTENT
ssdeep
|
384:10qtl+SW7yegppb7w1DwII2Ub0SqOojxY0ifjjl+Sj7DBgppW7n5JaxO7TQ/xGe1:3+SWuXpbxIIt25id+Sj/qpW/axOgT1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b209c9636969cbcb |
|
VISUAL
aHash
|
1b0727c3c3e6e4fc |
|
VISUAL
dHash
|
7b4c4d968e4d4c30 |
|
VISUAL
wHash
|
190f0703e7e4e4fc |
|
VISUAL
colorHash
|
07000e00008 |
|
VISUAL
cropResistant
|
7b4c4d968e4d4c30 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)