Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180325033B600CD298D9B95CCF2C09589411ED345FB3148CAA1A490FF7BC5DF069A97AE |
|
CONTENT
ssdeep
|
192:R03JcYcAcCsAbx5McnthWeNWbsoUaLUXAJy2AfMmUU8VCo5:4cAcCjxaLoSAfMmUFCo5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b232cdcf41cdcc70 |
|
VISUAL
aHash
|
ffc7c747c7e7ffff |
|
VISUAL
dHash
|
cc1d9d9d9d8d000c |
|
VISUAL
wHash
|
3c04040407c7fdfc |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
cc1d9d9d9d8d000c,def833fce8e9dcff |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.