Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12363C631A140657B019347D8B631A75EF3D7834CDB630B89A3F8C7991BDBCA9DC22266 |
|
CONTENT
ssdeep
|
768:asWmZbdXv6//jIbkZELk+CuVmnWcw7t8qZuFeE0SvmJUIS7:/BQjIC+CYXcwJLZuFeE0SI67 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a206fd5166df31a8 |
|
VISUAL
aHash
|
000000040000ffff |
|
VISUAL
dHash
|
863575cddddd3b0a |
|
VISUAL
wHash
|
000007376707ffff |
|
VISUAL
colorHash
|
1a007000000 |
|
VISUAL
cropResistant
|
19009b1b0b2b1380,a6867d65cdcddddc |
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 180 techniques to evade detection by security scanners and make reverse engineering more difficult.