Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAC2A731A000273F4197D3C9B721F31EA3E39289D74A1D1653F9936D8BE7E90DA2752A |
|
CONTENT
ssdeep
|
768:cee/y5NkSVhuIaN5Y+ZF7sOy2+y9BH4crIe:9uvZF7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c746fc3a910ccd93 |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
044cc4c2cccd9300 |
|
VISUAL
wHash
|
80e6fa302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cc4e6c8ccc5e3 |
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.