Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10832DA37F10875191BA34149F6D1D1FAE36BC1AAE2310645B1E8807F7AC4AF584763DE |
|
CONTENT
ssdeep
|
192:HcAetRV5YGrYuvU+fHTZ9ZCxijggrxRs5TnfMmUU8VCo38:HPet1YGrDUOzZ9ZCxijggrxRWfMmUFCd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b38fcf9c0c044fc |
|
VISUAL
aHash
|
0f0f071f0f0fffff |
|
VISUAL
dHash
|
bc3c7cfc5cdc9800 |
|
VISUAL
wHash
|
0707070f0f070fff |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
bc3c7cfc5cdc9800 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.