Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188423032B05D0158312678D2E0F637AAB72B557E7E8718F034B1DE1EC2AC66FB071A65 |
|
CONTENT
ssdeep
|
96:7xQodzQzHiMGGNlvCsl7pR6MqkDZX5ISns08TrEBye2WqsvIJGc/U5P3Ehppjfjs:FQ4zQzCWDJ5Zs08/EBssHutjL9sH6L/u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c1963cc3693c96 |
|
VISUAL
aHash
|
ffff81c18181c3ff |
|
VISUAL
dHash
|
02330713130f3700 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17030000080 |
|
VISUAL
cropResistant
|
02330713130f3700,e20f173333173737 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)