Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8C26170E148BA3F01A393E9F75247B5B2E58149CB550A1AD2FC93AD93D3C83ED63058 |
|
CONTENT
ssdeep
|
384:jaGG2jA5plIHic8oxtXeLTre38eQyexBe6cT9BUBVBTlBaRAp:uGLsGzo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7a4393cc6e53196 |
|
VISUAL
aHash
|
660164747600207c |
|
VISUAL
dHash
|
943bcdcccc1cc0c8 |
|
VISUAL
wHash
|
ff01f6f4f600207c |
|
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)