Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E833AD01110CB2C4DD78299FB60EAA0636CF198D71B83899AED8315758BDC6FD2BDB4 |
|
CONTENT
ssdeep
|
768:Z6cN1T24KmhM0x71jJtzC3lqDLguBQFFFiqwZtrx7C/q9jpL+3UjwZIFIdNSRdKI:zTemhM0J1jjC3legw+H+Jaspa3uYlgN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9852f9af2982a33b |
|
VISUAL
aHash
|
fd1c1c1813ffdfd9 |
|
VISUAL
dHash
|
29b4fcf1736e3b33 |
|
VISUAL
wHash
|
fd1c0c1001bfdf8b |
|
VISUAL
colorHash
|
070001c0001 |
|
VISUAL
cropResistant
|
29b4fcf1736e3b33 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)