Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10263A67B0100B53E2252B7FCDD273D2AE37C5188EE524296D2FAC69D16C2F50CA7A94D |
|
CONTENT
ssdeep
|
768:MJb0dH/o//fDbKahCP5EHU4MQjzdmqwN1:T+SREHU4MQjzdwN1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce47b49a16bd161a |
|
VISUAL
aHash
|
000000003cffff00 |
|
VISUAL
dHash
|
c4c0c0c268681796 |
|
VISUAL
wHash
|
066000003cffffff |
|
VISUAL
colorHash
|
39006003000 |
|
VISUAL
cropResistant
|
a068615d6d6140a0,4002614d4d610060,000223230a173333,94c4c0c0e0006969,173333c9c4d4d40b |
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 120 techniques to evade detection by security scanners and make reverse engineering more difficult.