Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119F2E870A1002A3F9297C3C9F311F73AB2A39389DB85561251FDC72E4BE2E91DD27529 |
|
CONTENT
ssdeep
|
768:1uy5Ng1dzWk4fqFEtWMt/iPIpR7sOy2+y9BH4crIe:6dzT4TRRd7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d36bf854c512cd83 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
874949c9c06c6d00 |
|
VISUAL
wHash
|
00e57d003034ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
8204609e96600582,2880800270908000,874949c9c8c06c6d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.