Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C6194321050443F232297B8F8A27788C1DD6B1FCA81AD78FB6412977ADEDC08833565 |
|
CONTENT
ssdeep
|
48:biNRgFUpWJ1GQnupE/KRm1GQnSj01GQnSlCrCtOhLNaNu8+U5l3REGUQFfhYyeEf:bpFUc0/q/0o0Zer83l3R/XNeoyAL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8506871513ff5ae |
|
VISUAL
aHash
|
0000ffffffff87ff |
|
VISUAL
dHash
|
82b69618e0475725 |
|
VISUAL
wHash
|
0000f3ffffff0101 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
b69619c580577725,008292929200a0a0,e7a723273735355c,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)