Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2E2A87261006B3B01A792C7F290A75EA3F2524EE74A041653FC876D0FA7D50EE2779E |
|
CONTENT
ssdeep
|
768:GsS1rjmC/vwYGpLPbiq7sOy2+y9BH4crIe:GFgT17sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c341f932b96994cd |
|
VISUAL
aHash
|
000070000000ffff |
|
VISUAL
dHash
|
c8ccc0c8cc0cc300 |
|
VISUAL
wHash
|
00747838240effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04609696868e3004,0080800058988000,d8ccc0c0c8ccccc3 |
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.