Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184E2DA31B010BA3B4297D2CEB762F75A92E78249EB46050191FDD3AD0BE3D54DA33926 |
|
CONTENT
ssdeep
|
768:tSky5NxKrAD0l6hfnddzFL5h7sOy2+y9BH4c1Ie:FrFwfh7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc1eed28c3a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
92ccccc2cacccc00 |
|
VISUAL
wHash
|
0064e670602cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,908cccc2c2c8cccc |
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.