Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167D12EE1D404ED3B035386D5ABB66B0BB7D1C749CF030A4493F883AB9BDACA0CE15599 |
|
CONTENT
ssdeep
|
96:TkNbzDJ1tJMt8v67MIdt02tEVFZ4hXCHF35Xaz/b2fq2J:QNbzDJ1zMt8iIyt02qrSzT2qw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccc66cc4ccc |
|
VISUAL
aHash
|
ffe7ffefffffff00 |
|
VISUAL
dHash
|
0c0c100c0c100000 |
|
VISUAL
wHash
|
e8e0e4e4f0f0ff00 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0c0c100c0c000000,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)