Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17332443031027857523757C1F4E28B0D6653A336CB0149ECF7AA277A67CDDF689B1AA8 |
|
CONTENT
ssdeep
|
192:6GU2lSOUbkgS6WNGHQdWJolDKEDyd+Dr7c/+yVvErEFZBLfRQZLfhLfRzLwLfR+j:5U2lSOKQ0QmopKkyd2f7ynFZBLfRQZLN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6227388db336666 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
0c0e0e1616060e0c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
0e000000007 |
|
VISUAL
cropResistant
|
0000000000000000,8080808080808080,a28000cccc0180a2,a280006c4c0080a2,a0930313430193a0,26d0d0ae8882b2b0 |
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)