Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101D28531B110263B41ABD3C9B761F36EE2E39249D745081563FE839D4BE7E50ED6322A |
|
CONTENT
ssdeep
|
768:PSzy5NnOJGlNZcNP+OHGXKm0QmeQ7sOy2+y9BH4crIe:OJV+Cm0QhQ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363f13a9e3c99c0 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8cac3e8cdc98b00 |
|
VISUAL
wHash
|
60f370302401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,d8cac3c2c8cdc90b |
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.