Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4E1EABBE11C137307C31266BE9DF5DD525F101DBB62C8E62A94804C13F9AA8C5F69E2 |
|
CONTENT
ssdeep
|
96:tGBPol//3sDJ3O3s3E3Psk5dzEdIx5yXbA2nTsCM3CIsL3maKe7tvqCfUa5M1os+:wPol3g+c0fzKyCgxwmos1c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b63636cdc9003f36 |
|
VISUAL
aHash
|
0707070fffffffff |
|
VISUAL
dHash
|
adad2dad800e8e96 |
|
VISUAL
wHash
|
030307077fefc3c3 |
|
VISUAL
colorHash
|
0f000000070 |
|
VISUAL
cropResistant
|
adad2dad800e8e96,2a8e89a99999b7b8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)