Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1663319F853A5E6FAE105D3E4DB650539735A11FAEA82C710C3FD9F8C98D588EDC48881 |
|
CONTENT
ssdeep
|
768:BhXTRlXND9bVOvuO0/tXkIRVCiCbDrkleEQ8hXTRlXND9bVN:7RFVUuO01adUhRFVN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb2ec459d9c093d2 |
|
VISUAL
aHash
|
ff0101010d0cffff |
|
VISUAL
dHash
|
b70fad5b5919d8c0 |
|
VISUAL
wHash
|
ff0101010d0cffff |
|
VISUAL
colorHash
|
1b2000c0002 |
|
VISUAL
cropResistant
|
b7172f2d9b5b1919,a0a084909090b8e8,8080c0c08464e2e0,170f2d9f5b591919 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)