Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1389296F05227C53F5A63A2CAB5604F8FE6F05A89C3564F1DB2FC2117398BC069DB6194 |
|
CONTENT
ssdeep
|
384:TZD/EY2+MIHq3RvQxDH+XD7GsxCZHHTz7n:l7EY2+MIHq3RvQxDez7GlxHv7n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c65653563367399 |
|
VISUAL
aHash
|
00181c3c1c1c3c3c |
|
VISUAL
dHash
|
f3f3f1e1f1f1f069 |
|
VISUAL
wHash
|
001c3c3c3c3d3f3f |
|
VISUAL
colorHash
|
00006200040 |
|
VISUAL
cropResistant
|
0686865656866606,f3f3f1e1f1f1f069,0003b74606330100,00015b06065b0300,20838bd3d3dbd120,0003af06162b0100,4013c7471b404747 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.