Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A811471921C2C3D76074AC5E729736631AB538AEB0A31143ABD037487C6D6EED770A4 |
|
CONTENT
ssdeep
|
48:TU9q57ZAuK5Leb9Wws39qyPMrCgz2i93SggVBGF706vV6UpAe8rSA4ie14nZY/au:TUSKtNg9Wn9Y5gLGFlV6UuU1ubo5MA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b39c9c36260e9d9c |
|
VISUAL
aHash
|
ffffffe7e7e7e7ff |
|
VISUAL
dHash
|
204a224d4d4c4c31 |
|
VISUAL
wHash
|
ffffffe700001800 |
|
VISUAL
colorHash
|
070000001d0 |
|
VISUAL
cropResistant
|
204a224d4d4c4c31,616961614d33334d |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)