Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146E1FCE0D054ED3B435386D9A7B96B0B7391C389CF02194453F483AB6FDACA0CB1559A |
|
CONTENT
ssdeep
|
96:TkwHnBOknzD71tkz3t8v67Mcdwytgl97wwvFHeJXhHFJeBXsX/4LfqzR:QwHngknzD71U3t8iIGwy6l97MLWCXOq9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2b019cf46c64f99 |
|
VISUAL
aHash
|
ffcfcff7ffffff00 |
|
VISUAL
dHash
|
249e1c0d10000000 |
|
VISUAL
wHash
|
240000300f0fff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
049e9a0d0c000000,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.