Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1216132B472952E7B16C3CAF77084FB297670CB98D3538768F1E980576796C58CAC2390 |
|
CONTENT
ssdeep
|
48:TJ342MY4vUQcNks+Rgx4FdhYvoE6X95zPnAhqnpLctyrtx:Tt42fQcuM4Th+cnKqNtx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e1434969736b635 |
|
VISUAL
aHash
|
3e18003c3c3c00ff |
|
VISUAL
dHash
|
e433446971690230 |
|
VISUAL
wHash
|
7e3c183c3c3c00ff |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
e433446971690230 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.