Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5C27131E248793F41A393E9F7964775B2E98109CB940A1AD2FC93A953E3C83ED6305C |
|
CONTENT
ssdeep
|
384:ILEgGOGElBSJct8xbXeFTre3VeQyex9e6OT9BUBVBTlBayLAp:ILEg7md6sQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7a4393cc6e53196 |
|
VISUAL
aHash
|
660164747600207c |
|
VISUAL
dHash
|
943bcdcccc1cc0c8 |
|
VISUAL
wHash
|
7f01f7f4f600207c |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
943bcdcccc1cc0c8 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)