Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB32022A107AE7FF874AB2C1BE25672A21C596D2D9A32F05F3F1CF485BCAD448D04196 |
|
CONTENT
ssdeep
|
192:aZHjq1c3CQGnhhyM9MfQMZam6aOw3KRCldNov6ovbovguovH5ovVovbwHPuMARtL:CIex73KRH3wxmJ6QeK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6de39292921a69 |
|
VISUAL
aHash
|
fdf1919fffe7e7ff |
|
VISUAL
dHash
|
29033334820c0c0c |
|
VISUAL
wHash
|
85c08090ffe7c3e7 |
|
VISUAL
colorHash
|
07201200040 |
|
VISUAL
cropResistant
|
29033334820c0c0c |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)