Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110E2A73172002A3F02D782C9B762E72EA3F79345D656094591FD837D0BA3DA0CE37A5A |
|
CONTENT
ssdeep
|
768:dS5y5NMJSQb6TfhHnDVXrS7BCIlNP/Sxd7sOy2+y9BH4crIe:+YxXk9NPud7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ed128d6d968d |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
1909434bcd0c3300 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,100947634bcdcc33 |
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.