Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA62763211269E1D3912E2C9E283365EC1C7824BE6F64235F2E549BE27F2E74B14671E |
|
CONTENT
ssdeep
|
192:5qZ3O/00+sASMG4hbvq4VQDh+8J/Hak7k:5qZg0qeE/BA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3734c4cf333494c |
|
VISUAL
aHash
|
00ffffefff0000ff |
|
VISUAL
dHash
|
cc001c4c00103000 |
|
VISUAL
wHash
|
00e3c0c0303000f0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c08141c4c001000,0000000000000000,0000c0d0c0400000,000820b2b2001000 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.