Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8C299B29144653763A6C7D8E272764AE7518586CAD2004BD0F4D35C3BFECA3FC1728A |
|
CONTENT
ssdeep
|
768:wB0Bjr0pNOJDoB49OkAjSgL+XvjBtgneqLc:trYdkAUR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe5e988965669898 |
|
VISUAL
aHash
|
80809ca2f3ffffff |
|
VISUAL
dHash
|
3b383c060638241c |
|
VISUAL
wHash
|
80809c80e2feffcf |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
3b383c060638241c,454b92a4a45a4145 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)