Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CC2A876A044273B03A3C2C973A1BB1A63E3464ED74A161253FD837E4BEBE10ED67156 |
|
CONTENT
ssdeep
|
768:ne4nnU603zvF1UdUrokac97sOy2+y9BH4crIe:Vn3Sow97sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3069638bc34b5e7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc9c8c4c8c8c800 |
|
VISUAL
wHash
|
067c7c302040ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
c880c80458988000,dcc9c8ccc0c8c8c8 |
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.