Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E56219753081A8076963D1E83BAB632E616289D9C99F854CD5D4F0B83EE5C9EC4DB3A0 |
|
CONTENT
ssdeep
|
384:JmYGP8GxdGmVGSyRaAWj2nvUwXNAfLwUWAuYx6jomrYZJp2/R2vYtF+L:MNPxxomAS2vUwXNAzwUWAyWwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3584848f2f2cce6 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
b032940c0c100800 |
|
VISUAL
wHash
|
0000006667ffcfcf |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
b032940c0c100800 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)