Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16683D863D26817BC78460B58C632706635E550DFF236D3ACC7BB9692B805EF204ACDB9 |
|
CONTENT
ssdeep
|
768:MKhRkiljB2A8IeLDtr0YO+y+TI7rDQjIZf48ty+S2nSuzCk5U0wS6tNLRbkFDyU+:MKhRFn8IQTI0MZw8VNSeCkydLAWV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca4ab5a9b405a5fa |
|
VISUAL
aHash
|
f9f8f878f9f9f9fd |
|
VISUAL
dHash
|
5391f1d1b1131109 |
|
VISUAL
wHash
|
f9f0303018f1f9f8 |
|
VISUAL
colorHash
|
07601000080 |
|
VISUAL
cropResistant
|
5391f1d1b1131109,0f030c850b36260f |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)