Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190431FB15043453B8A8391C1EB352B4AA3D2D34ACB530D08BBF9875BDFCBD64ED1A660 |
|
CONTENT
ssdeep
|
768:fCLgEAs6+5wkxW0HGaC7B1As6s69F9FOoZ7viJBJBse+fZHzaDbcduhsty0gKIBC:aLgTXsHfCNaXX9jFOlJFw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6691db495b0646 |
|
VISUAL
aHash
|
fdf791b1b1b1fdff |
|
VISUAL
dHash
|
5165656767659984 |
|
VISUAL
wHash
|
fdf100909090f9ff |
|
VISUAL
colorHash
|
07202010000 |
|
VISUAL
cropResistant
|
5165656767659984,1d5c74333a302a8f,814193195ddccc2d |
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 99 techniques to evade detection by security scanners and make reverse engineering more difficult.