Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113F32AED23109EED108B83F9BF28A2D8A34AE65ECB570E45D2FC871935C5CBC9D19581 |
|
CONTENT
ssdeep
|
1536:C/n/p7DP8/bLbgmcyBMZMAuZjMVbA4Vkh2XhKtNuu3YmB277YlSUJhCzirf73Yw7:hih84ItPP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d269699c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6507ccdccccc178c |
|
VISUAL
wHash
|
8181ffff7e7e0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6507ccdccccc178c,a3a323a565672e2c,486aaab2a2942626,4541057969690145,4141714d4d714901 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)