Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AD29671B1106A7B1197C2C9B762E75FA2E3834EDA8A041592FC83AE4FD3D54DE3311A |
|
CONTENT
ssdeep
|
384:SSkZhM/K4B/im1pV6Yy401+Z1VSNmSgC6fyfYMlcbmIYsOy2+y9BH4ciUIe:SSkZhqFSMW4KYKB7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc6dc54696b2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccccccc4c8e0ec00 |
|
VISUAL
wHash
|
00006e7c7830ffff |
|
VISUAL
colorHash
|
3a000000618 |
|
VISUAL
cropResistant
|
6080800458988000,ccd2ccccc0c8e0ec |
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)