Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AF2B534C1A4B97B02A383DC1A73A3E675C7428ED263439CE2F4CB356641DFADC51AA5 |
|
CONTENT
ssdeep
|
384:pesOGOlqi1Z2mvZ3kWl1YHtuRgK47/H8cLX4K9uZ8DJ3sHwADwY7rnz86uHo1e4K:UxmtfI433w3Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dec9002ff73303f0 |
|
VISUAL
aHash
|
fcfcfefcd0000000 |
|
VISUAL
dHash
|
e9f0c0103031d4d4 |
|
VISUAL
wHash
|
fffefefcc0180000 |
|
VISUAL
colorHash
|
33000080006 |
|
VISUAL
cropResistant
|
e9f0c0103031d4d4 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.