Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125420283110C5A69C3B349D994103680B183E78FC96097B096BD4D7F1BE6FA2A6D1F7E |
|
CONTENT
ssdeep
|
192:YwuO6cE5OjHjbS1jZtUh0QHJPbdaR+kjwZ9JtNfKFjwPs9JyFJvz3obU2onZO2sh:ldE5Oj48NDl2i1YbU244FRnh8Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e92dd6869b92a64c |
|
VISUAL
aHash
|
ffc3818181d1fcfc |
|
VISUAL
dHash
|
1713133333330021 |
|
VISUAL
wHash
|
ffc1818181c1fcfc |
|
VISUAL
colorHash
|
06580000000 |
|
VISUAL
cropResistant
|
1713133333330021,510b23d3653766e6,9e9f9d0dcd063e1e,cfefe7672737c3e1 |
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)