Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCC2C673A110273F519B93C67791B31E92E38388DB450D2652FD835D4BE7E60DE2362A |
|
CONTENT
ssdeep
|
768:uS5y5Npq7FTEktSaeRCg7sOy2+y9BH4crIe:17L27sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f43a9c3c8dc3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8cc8c0c8c9f70e00 |
|
VISUAL
wHash
|
40e478302c03ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,9cccc8e0c8cdf70e |
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.