Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB92D9B260C5E8276972C0DCAEB7B31E729285E9CD5749C8C5E4B67C3ED8CD6C482361 |
|
CONTENT
ssdeep
|
384:oEjPIayBqOqSdLBgOMXMNmxaAWj2nvUwXNAfLwUWAuYx6jomrYZJp2/R2vYtF+L:ZCqliHoPy2vUwXNAzwUWAyWwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b43c2d83c3c3c73c |
|
VISUAL
aHash
|
43c3c3ffffffffff |
|
VISUAL
dHash
|
96969649694d6964 |
|
VISUAL
wHash
|
008181bfbda5bdb9 |
|
VISUAL
colorHash
|
07201008040 |
|
VISUAL
cropResistant
|
96969649694d6964,75d9cc653391ec66 |
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 491 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)