Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFC2867161806B3B42ABC3C9B3A17B2EB2D38249EB46051253FD476D0FD7E40ED67529 |
|
CONTENT
ssdeep
|
768:TLevHfXSMTywk2T9QGpRg7j7sOy2+y9BH4crIe:6fiAkfGpu7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3439432bc3c94ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc8c2c8c8cccc00 |
|
VISUAL
wHash
|
06706060644effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc8c0c0c8c8cccc |
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.