Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7E2C635A0C0A73E059382C1B6B1CF197BDAC658DB1307161BFE83999FEED689C35542 |
|
CONTENT
ssdeep
|
768:ghkjPwcuSl6Fb6qRFpMRl7iiY4gSIPApo+dK9+iD2e5daK5:/PwcuSl6Fb6qRFpMRBiZRSIPAO+A7D2K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0e5b53534849f9d |
|
VISUAL
aHash
|
c6607870403c7e00 |
|
VISUAL
dHash
|
9691c08098c4d4d4 |
|
VISUAL
wHash
|
fee0f8f8407c7e00 |
|
VISUAL
colorHash
|
38400038000 |
|
VISUAL
cropResistant
|
9691c08098c4d4d4 |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.