Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BE3D773A26C247F29370FD8A618271A75C2704DDA4A51D9F2BDC3D823F9DE1A4922D3 |
|
CONTENT
ssdeep
|
3072:b0RmVyNnfDKRjlOLnHK/BPcRZ+tAVnbTsARCG:b0RmQnfDKSLnq5kRZLT/R/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f0760707f7f7060 |
|
VISUAL
aHash
|
00ff7fbfff0000ff |
|
VISUAL
dHash
|
84c0e06800717100 |
|
VISUAL
wHash
|
003f3f3fff00003f |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
e0c0686108717180,80d4d09c8c908c00,452295a4aa982500,4100253232310061 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.