Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15642A7E0858DE77A08C77350C77CE16AA386524CEB6E295893F1836DD9C9FCCDC22905 |
|
CONTENT
ssdeep
|
384:fHQI7k+PRH2hO3N0o4CUgUqNYnqSkpAqe5EWMfVsqrdWZ:f8Pq6r5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6cc9393596c649a |
|
VISUAL
aHash
|
ffe7c3c3c7e7e7e7 |
|
VISUAL
dHash
|
6d0896960e4d4d4c |
|
VISUAL
wHash
|
04e7c3c3c3e7e704 |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
6d0896960e4d4d4c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)