Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18483657461458E3DA897C6D4FBB46A2C50AA9347D211584CFBEA43F39B03D68ED372E0 |
|
CONTENT
ssdeep
|
768:gHbar2+OVVjA8HFHwZB3CHGhB3UH0XhB3UHjzZ7viJBJBse+fZHzaDbcduhsty0L:Mbar2lzeBSHeBEH0xBEHSwOm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c03e16e7c1f324 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
1a1adbdbda981b1a |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
80b3ad8ca48b8ba4,085656b4a4a04809,c0caa1c5c8a894d4,0008707068202000 |
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 101 techniques to evade detection by security scanners and make reverse engineering more difficult.