Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E683EE72A27B1826902FB1E4A2A447193643CB8AC7478BF6927C52F67BCDC753D1318D |
|
CONTENT
ssdeep
|
1536:bQbmz+j/f3AMOZb9y+M8EjOeifeYq+peH9M6apVeEf3kMgzSATMJMgMiTivXiekI:bQbmz+j/FOsYq06CZgwW9rqRtqFfY9mV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36c329e929e616d |
|
VISUAL
aHash
|
2c30203c7c7c7c6c |
|
VISUAL
dHash
|
d4d4c2c0c8d8c8c8 |
|
VISUAL
wHash
|
2830203c7e7e7e6e |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
d4d4c2c0c8d8c8c8,eee5490981915971,0000486979960000,0000c868e4680200,48ce8f8046667633 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)