Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12063977611826B3F208389D1C75CF359E3C2D606C7674A86DBE8935B63C6DE0ED261B8 |
|
CONTENT
ssdeep
|
1536:uqKfrXrr0D5cn/06Zw89qll0fXtcim0PtKxVur8lda:iehsSqr1F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2502cbe96d696bc |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cc9bc8d0cccc238c |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4c8cc23cc86,8c8fdb9bc8c8dcdc,4501656171714151,0145557151454580,884c581c4cc88d62,699acb6929ea9216 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)