Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117A19573C0402127461B4AC2F921676DB59FD3ACEE176810C6EDC3E62BD9DD4EC2A716 |
|
CONTENT
ssdeep
|
96:TCJAOsF2q+1lcdiEoOqprmbQrZDvnjZwtjZvnZrRZmLUfMZG:hOsFF+1lcIL79mbsTnlMlvZLiUfYG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8380feb4d23de4cc |
|
VISUAL
aHash
|
ff3f312b7fa70100 |
|
VISUAL
dHash
|
faf3e3dbd95f5745 |
|
VISUAL
wHash
|
ff3f31233fa70100 |
|
VISUAL
colorHash
|
0e600010000 |
|
VISUAL
cropResistant
|
faf3e3dbd95f5745,f3f9bc3c3430a2e0,2c0c2c2cacec8d8c,6d67656c6d6c6d7c,d0f0c282d1933238,f8757078f0e0d1e5,2d52793371727371,584d16f673e3a549 |
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.