Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137325133E600CD2A4D9B96C8F2C495895169D345FB314CCAB2A091FF7BC5CF069A93AD |
|
CONTENT
ssdeep
|
192:7zkQdpj6nLkefFaF6bYs3m8icB+Wbfx5QMcnthWeNWbZfMmUU8VCoyS:ppj6nLkefFaF6bYum8ic1vRfMmUFCoyS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0f40f070f170ff0 |
|
VISUAL
aHash
|
02c2c6c6c60c0c0d |
|
VISUAL
dHash
|
7eb6b4bcbcfcf8f9 |
|
VISUAL
wHash
|
02c2c6cede1e1e1f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
efdbf6ecd870e080,eae0e2e2803333e2,7d9d9f9b9abef4fc,d8f0b060c0800003 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.