Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6B380D61628438CA14B996DEF2FFE05131FB0AAB95889801A4FC26CD29F4D6F71752C |
|
CONTENT
ssdeep
|
768:X5I+B7h1rRf6hx7krv0RQ7Hubw/9PyfR8MRERXQHK51qRXh9k/9PyfR8MRERXQH8:p70RQ7HubwFsR8MLqcfkFsR8MLqcMv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89b61daf1c8b161e |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
6000000000000310 |
|
VISUAL
wHash
|
b0f0f0f0f0f00000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
6000000000000003,0008101010100800 |
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 98 techniques to evade detection by security scanners and make reverse engineering more difficult.