Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2F1A3E3C3A0809C125BC55ADD52F54D7196C4FFF9662B8252F69A2FD0D3CE0D932921 |
|
CONTENT
ssdeep
|
192:O76YI7r6XSqugxuO4Rnigni6U3qV0OKPGw7hd:fYv7VV4POqVbed |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c9ce2e3d1c9d1e1 |
|
VISUAL
aHash
|
7f1f1f180000f0f8 |
|
VISUAL
dHash
|
faaab2b2b2c0c0c0 |
|
VISUAL
wHash
|
ff1f1f180060f0fc |
|
VISUAL
colorHash
|
061c8000000 |
|
VISUAL
cropResistant
|
faaab2b2b2c0c0c0 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)