Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2437573509D993E17A282C563607B1AE295A245EB73EFF0A3B0434C9FD2F11EC12DA5 |
|
CONTENT
ssdeep
|
768:Rk2meVanbwDop15CxwBCt6/XKzGgGv3C2FnDwGjiNFhsu5PS1ua/fD0zCzCIwGhU:W2DNzGst/a12fYcfZF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92926c6d3173c3d3 |
|
VISUAL
aHash
|
3c3c3c3c1c3c3c3c |
|
VISUAL
dHash
|
dcf4dcd8d8c0e0e8 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
300000c0002 |
|
VISUAL
cropResistant
|
3372b1b192d989a3,da1a144c6c6e4a9a,360e72704b4655d5,55559aaaaa9ad5c5,dcf4dcd8d8c0e0e8 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)