Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B63647212826E3F254386D08718E31AD3C6DA09C7AB594ABBEC43DF67C7DA0DD39164 |
|
CONTENT
ssdeep
|
1536:eZnZ3Lz/sPLbrr2xix8p8RShU1cxKm8uxnLR+g0aIO9frEIey8vkHJwuyUTJiF5+:DE48 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506d2e96d496fc |
|
VISUAL
aHash
|
00003c7e7efff1ef |
|
VISUAL
dHash
|
8483c8f0cccc23cc |
|
VISUAL
wHash
|
00003c7e7effb0e6 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc23cc4c,848fc1c3c8c8d4f4,6145716969314561,0852d3d352c9d0c0,4145515549904e46 |
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)