Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3C2D532A0483B3B5193D3D57751B32EABE38249EA42090552FC8B6D0BEBE50DE2751B |
|
CONTENT
ssdeep
|
768:zS5y5NJA/XZxgMQS3V1sM7sOy2+y9BH4crIe:Wv0AR7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f538993d8cc6 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98c8c0c8c9f70e00 |
|
VISUAL
wHash
|
40e478203c03ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,98c8c8c0c8cdf70e |
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.