Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11882647B210C8A341EB34BA44BD1B419D3D3561BCCA96D92D8E2D6AA35C7FF4CC8406A |
|
CONTENT
ssdeep
|
384:lKaOPQNi9gNzIak/o5WSouplYLEqnbo2ItjDgUq6pLGdBZF5FN0EyTaUfsf7fyf0:lKvPQNiOzIak/o5WSbHYLEqnbo2IpUVd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c9292c3c56d6c |
|
VISUAL
aHash
|
2c00003200ffffff |
|
VISUAL
dHash
|
48b6b65640362600 |
|
VISUAL
wHash
|
0e0e020020ffffff |
|
VISUAL
colorHash
|
070000021c0 |
|
VISUAL
cropResistant
|
48b6b65640362600 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)