Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171D2B531B1147A3B02ABC3C97352B75ED2E3524DEA55090553FC876D0BE7E90EE2362A |
|
CONTENT
ssdeep
|
768:CSzy5NePf9Q92J1AzYxE5KGtmsY/eo7sOy2+y9BH4c1Ie:1nczjDmbGo7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c347f53ab038cdc4 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c8c2c3c8cdc99b00 |
|
VISUAL
wHash
|
64f370300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c2c7c2cccdc91b |
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.