Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170D2A6729100273F0297D3C9B362B71DA2E7964DCAAD280563FD876E4BEBE40DD23516 |
|
CONTENT
ssdeep
|
768:SSXy5NZmdZzqUv1/7YDl+c5gohCt7sOy2+y9BH4crIe:vdZzqUv1zYWost7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
876bfd32d1699482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49e3c3cc4cb200 |
|
VISUAL
wHash
|
80fd71200406ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
508080106c888000,1409c3e3cbcccc36 |
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.