Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6542AE863A4A7F4E002D3F8D73694B5361A34F9AB42C668C3F45F45AA9188DCD85CC7 |
|
CONTENT
ssdeep
|
1536:TWn9s0KK444lJj+JvmjiS3TGnBz4vA63j3udx+ic+utg+JQZBdx+ic+utg+JQZBr:Cq333TZcg5wATvfv6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee9d116b17086e36 |
|
VISUAL
aHash
|
00ffffffffe10000 |
|
VISUAL
dHash
|
ab6367236b4bc1d4 |
|
VISUAL
wHash
|
00fff7fdf3e10000 |
|
VISUAL
colorHash
|
16058000400 |
|
VISUAL
cropResistant
|
cbd36727236d6b8b,00c21b23a31b8300,25916985a69e9165,033dcccce0817efe,856b4b8bc7d804d4 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.