Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABC2B631B100263F12AB83CA7712F32EA2E39249DB45090553FD876D4BE7E90FE5356A |
|
CONTENT
ssdeep
|
768:+Szy5N7SpDKlMJACDCcb3Rbe7iF7sOy2+y9BH4c1Ie:jp7Ja03RaC7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d53a961eb9c0 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8c3c3c8cd49c500 |
|
VISUAL
wHash
|
64f370340001ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c400a00158d88000,c8c3c3c2cdcda9c4 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.