Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DD2A531B100263B129383C67760F71FA2E2924ADB85090567FC875E5FD7F98EE2356A |
|
CONTENT
ssdeep
|
768:NeFy5NZ8QqECPh1AlUsVB7IqeITJu7sOy2+y9BH4c1Ie:mQqjPhK7BMFP7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f532b929cdc4 |
|
VISUAL
aHash
|
002030000000ffff |
|
VISUAL
dHash
|
dccdc3c3ed2c9300 |
|
VISUAL
wHash
|
00fdf9300400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,dccdc3c3c3ed0c14 |
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.