Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDD2FC228049713B03B755C0F39EFB0BA0C94296D70D1BD9A6F447BDCAD3E8295B3596 |
|
CONTENT
ssdeep
|
768:7fEGiNzRDFRWL4D8s/Oua/AYorJe2K1UFKLPmQ:DEGcALK/OuOAYorJe2K1QMPmQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7693232cdcf3330 |
|
VISUAL
aHash
|
3c3c2038043c3c3c |
|
VISUAL
dHash
|
d8e0c860fce4c0e0 |
|
VISUAL
wHash
|
7c3c2c3c043c7c3c |
|
VISUAL
colorHash
|
33000008007 |
|
VISUAL
cropResistant
|
d8e0c860fce4c0e0 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)