Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C302E132511A9D3FA19382E5FBB4372B22D24297DF4A0614C6F9423D5BCACC8FC6B158 |
|
CONTENT
ssdeep
|
192:Yi7Jsp/sI4sqsJysTkI5t2yCbJKapgso1sQL3wQ8sGh9+zY:FJsBsI4sqs4sTkit2yClKapgso1sQLAD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b29bc93499cd309b |
|
VISUAL
aHash
|
ffe7efc3c3c3ffff |
|
VISUAL
dHash
|
100c080e0e8e0600 |
|
VISUAL
wHash
|
00e7c7c30000003c |
|
VISUAL
colorHash
|
07200000006 |
|
VISUAL
cropResistant
|
100c080e0e8e0600,0000003434100000,696d4d4d89cc71d1 |
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.