Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A247835839A183DA2974EC8F153FB2FE2C68345D209979466EC01767ECEC7895E63C8 |
|
CONTENT
ssdeep
|
1536:SReQv08yBBpt0ZpHomTmR1uu50kGh3kXIZgLyyKTMDM9rVmpBBksQdltR5kXIZgL:SRpqmzpZst |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99358e6433d926dc |
|
VISUAL
aHash
|
023c180c18003c19 |
|
VISUAL
dHash
|
9671f0d8f0847031 |
|
VISUAL
wHash
|
063d183c387c7cf9 |
|
VISUAL
colorHash
|
38002018200 |
|
VISUAL
cropResistant
|
fffff7cdcdfbffff,9671f0d8f0847031 |
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 949 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)