Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B383A56011042506D237EAC8F4114B5E3213D30FDF121A74CAFD5EB6EBCD9B45AA9ABE |
|
CONTENT
ssdeep
|
1536:jEDrV0rH3HyLuqiI6P2JPggHmPc37N8xUR64/Zu28vkBktzIATLM7J:jE/SHsHg4Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfcc68170c71730d |
|
VISUAL
aHash
|
ffffffff1f070000 |
|
VISUAL
dHash
|
12651e74744d0d2f |
|
VISUAL
wHash
|
00ffffff1f070000 |
|
VISUAL
colorHash
|
07480003000 |
|
VISUAL
cropResistant
|
69551e747c4d0f2f,0008303232320800,000049f4a4aa4380,f4746c4c9c8bafaf |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.