Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9B1837582486D33C04383D0D7A6FB07338993A7DB4A928D50B592EE1FC9D5DCC9AEA4 |
|
CONTENT
ssdeep
|
48:EaqmpPn02vbmqw69s/w0TYYQTQWzhSZDqgWKPc6XRubEBbfUCwUwdNhjefppQH1O:EyZ0yaZDtWKTsbawgAgluIiO1vvsQb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b63c8dcdcc1c98c6 |
|
VISUAL
aHash
|
93838783f3ffffff |
|
VISUAL
dHash
|
360e0e2f07000000 |
|
VISUAL
wHash
|
81810101010f0f0f |
|
VISUAL
colorHash
|
07000000c40 |
|
VISUAL
cropResistant
|
360e0e2f07000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)