Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198113670A169AD23A6E396D4A9B1931F36D0CB55DB0F03410AF993F80ADBD95DC4508A |
|
CONTENT
ssdeep
|
24:hR/CvOo6THjZNs2X0STB8hKoBSw8c2Lfa5H:TCH6THjfs2kMB8hKo4dBK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c4a379dc8b6489d |
|
VISUAL
aHash
|
3c001818181f0706 |
|
VISUAL
dHash
|
e040323232360e0e |
|
VISUAL
wHash
|
fe7e1818181f0f0f |
|
VISUAL
colorHash
|
38001600040 |
|
VISUAL
cropResistant
|
e040323232360e0e |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.