Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F725076940DA53B6262C7D8F3B2A74AFB418585C9C3014BD1E6E30C1FEBD72ED2A251 |
|
CONTENT
ssdeep
|
384:g/FCGt0IS6syBxA+JKRrZfg28Bt/FJpjlmIBRz8:gB9zUrZfg28BhRbI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f65c4c632316dc96 |
|
VISUAL
aHash
|
80809c86e7e7e7ff |
|
VISUAL
dHash
|
2838340c0c0e0c2c |
|
VISUAL
wHash
|
80808c84e7e3e7ff |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
2838340c0c0e0c2c |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.