Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193E2C63271007A375597C2CAB362F35AA2E79209E7860415D2FD93AD0BE3DD4DA3352B |
|
CONTENT
ssdeep
|
768:LSky5NcIaUwcaxZuZbfbnh7sOy2+y9BH4cLIe:WabcL97sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc18ed06c7a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d0ccc8c2cadcec00 |
|
VISUAL
wHash
|
0064fc706024ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,d09ccccac2c8dcec |
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.
Pages with identical visual appearance (based on perceptual hash)