Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C147384F2D29C32315F81F2A4A467095092FBBBCB411FC767B146B1DAF58BD384E299 |
|
CONTENT
ssdeep
|
3072:IRkSI4mjmQzSSsITkTJhsruFZ2TGS0n3lZ+9AOWznpVn7/jSeOC37VWBIr4c+C:IXc/In18KhFcc+C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a670097c777d4d22 |
|
VISUAL
aHash
|
007fe7e7e7f7ffff |
|
VISUAL
dHash
|
00b88c4c4d0db0e8 |
|
VISUAL
wHash
|
0000e7e7e7e7073e |
|
VISUAL
colorHash
|
07206000000 |
|
VISUAL
cropResistant
|
8000c082a2800080,b08c4d4c4d4cb0e4,4145808280c02120,0c2653434b43261f |
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 190 techniques to evade detection by security scanners and make reverse engineering more difficult.