Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2E1FDF0D044ED3B475386D9ABBA6B1BB791C349CF07094493F883AB5BCACA0CB15599 |
|
CONTENT
ssdeep
|
96:Tk8nbzD71tDlt8v67McdtGyt13wvFRedXLHFqeNXSz/FYfd2J:Q8nbzD715lt8iIGtGyP/pfszNcdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34cc6a61999a6 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
080c0c0808100800 |
|
VISUAL
wHash
|
efe7e7efe7000000 |
|
VISUAL
colorHash
|
07000000188 |
|
VISUAL
cropResistant
|
08080c08080c0c10,0000000000000000 |
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.