Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1854297706208AD3F8405478CD39EB27761BA82CDCE591104F3E453A69BE1DDBFCB52A6 |
|
CONTENT
ssdeep
|
384:zviPZV7WRrXgpE5Wj1cVNIxdVPZcFOYKlZZO33:zviR1IQ51JxLZZOn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3a68c99663319e6 |
|
VISUAL
aHash
|
ffffe7e700000000 |
|
VISUAL
dHash
|
04b14c4d4d554c10 |
|
VISUAL
wHash
|
ffffffe7a0000000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
0000910c304c4d4d,d48080aaa2a280c0,4d554d44544d3000 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.