Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C503C712F3402F3A025307BAF6506776E3425398E74A35D82AE78EF86D61E4AD53709F |
|
CONTENT
ssdeep
|
384:hIA071AqB5NaM2kSpMisxbyDat+2InPgJUX60Ti0aGj+DaWJNR6DMOGJyuymQr/I:hIA0mqB59HSWioJi6+Ja3T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cace6d309a61ce |
|
VISUAL
aHash
|
ffffc3c3c3c3ffff |
|
VISUAL
dHash
|
b30e9e9e8e9e941e |
|
VISUAL
wHash
|
c1c3c3c3c3c3c7c3 |
|
VISUAL
colorHash
|
06006200008 |
|
VISUAL
cropResistant
|
b30e9e9e8e9e941e,c0c2c2a684040c09,3fbeaecedc9c9c7c |
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)