Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144E2427286561837033B85C9A06AA36E61D3A14DDA130F14B3FC83BDBBE9DB1741764E |
|
CONTENT
ssdeep
|
768:RxemNnG1ARwlombR4Yotm4YoAW4Yob4YoAhA8oEbB232h:RxemNnG1ARwlombR4YoA4Yoz4Yob4YoC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8989b61c7c6c6e4 |
|
VISUAL
aHash
|
ff1cdfffc3c3c300 |
|
VISUAL
dHash
|
d891b56592968602 |
|
VISUAL
wHash
|
ff1c9dfdc1c1c100 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
d891b56592968602 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)