Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137A32070C658623B02278DD8B4715F4EB1E7C30DDAAB990563FD4BC95FEBC90EA09486 |
|
CONTENT
ssdeep
|
1536:IAS2bgwiUQRftbNI4AzsQ4DUMP1bwdt+j2tkyS6VqV4Vdz5KT8bAyDM+i6ELNC:g2bA6mNC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc633c96c2ccc33c |
|
VISUAL
aHash
|
ff8381f9ffff9391 |
|
VISUAL
dHash
|
653f0b3328393633 |
|
VISUAL
wHash
|
b78181c19fff8381 |
|
VISUAL
colorHash
|
07401010000 |
|
VISUAL
cropResistant
|
653f0b3328393633 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.