Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1204232B09128AE3B95D3C1D5D2B49B6B72C18746C79713600BFDD3AA8AC3DF2DD10189 |
|
CONTENT
ssdeep
|
192:PJfacJgk3p8K/XytfoTJN9KILvzZTwMyOng7zsJc1A:hauJXug5KILvzZL7ezq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d89232d2d8f272d9 |
|
VISUAL
aHash
|
6e00181818000000 |
|
VISUAL
dHash
|
dc003030b2001000 |
|
VISUAL
wHash
|
fedc3c3c3c3c3030 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
0000104c4c4c2000,dc003030b2001000 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.