Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176E11330301238A652378AC1B0E14B0DB3139375D7931968F7B507A2AFC9CE9CAB77A5 |
|
CONTENT
ssdeep
|
192:UcnhbbcgSeMErQvQ1DvErEFZ4LfdALfy9LffvLfsEMKNqyTzhBeC3D:lnlLMbY1xFZ4LfdALfy9LffvLfsENtTx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ab81817a7ad4d47a |
|
VISUAL
aHash
|
ff3fff0000ffffff |
|
VISUAL
dHash
|
80c1c05555880100 |
|
VISUAL
wHash
|
7c3cff0000f0f0f0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
80c1c05555880100,0100083232000001 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.