Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9937933411935274437C6D530B55B3BD2A68A5FFAA70A010EECD7FA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:0me0jbXLz4NP3+mZY9svblTOCVrhh6kWOBDIOL:vLz4NP/y9svbliCdocDL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2d739702969c5c9 |
|
VISUAL
aHash
|
008e7e6064fe4101 |
|
VISUAL
dHash
|
120cc4c8c8cc8d93 |
|
VISUAL
wHash
|
c88e7e746cfe6101 |
|
VISUAL
colorHash
|
30038000400 |
|
VISUAL
cropResistant
|
120cc4c8c8cc8d93 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.