Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18932B5302194993AC4F7C3D1F7B5076A72A94386C72B8649E3E8C3766BC7C48CE09994 |
|
CONTENT
ssdeep
|
192:E7NC2vTFOYSOR8H/30ecg9wi8k+I1b3VTWQPI0TzW3:EE2vTFOYSa8H/3sg9BP+Ix3dWQg0TC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cf371d2f0f83988 |
|
VISUAL
aHash
|
4e3419183c3c1813 |
|
VISUAL
dHash
|
9c699770e0603232 |
|
VISUAL
wHash
|
ce3d1b3c3e3c1a03 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
9c699770e0603232 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.