Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DC28431A1405A37519B92CDF3B1672F52E3430ADA86062952FD83BE0BF6D58DF37419 |
|
CONTENT
ssdeep
|
768:lQep90hO0BEWICZ/2n7sOy2+y9BH4c1Ie:tuq4Fw7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d257dd329129e1c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
18e4c0d8cd8d8300 |
|
VISUAL
wHash
|
0c7c30006c45ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18ecc4c8d8cd8d83 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)