Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D43263A09440541B121645C97657FB4B35C3E3818F76085066DA83ABBEEF7E0ECAF3E6 |
|
CONTENT
ssdeep
|
192:44gCBXoiwQTH9xiL9g9Imk23LAaS8zDuJ4wz3pj9n3Mg1I:44gCFoiwQTtF43pj93Mg1I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1250f8f8f03339b |
|
VISUAL
aHash
|
27c3c3c3ffe7e7ff |
|
VISUAL
dHash
|
5e169e8e200d0c00 |
|
VISUAL
wHash
|
03c3c3c30000041c |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
5e169e8e200d0c00,40212089cba93040,7fdccccddbdbdd0b |
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)