Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E751C6251021482F2F1345B2ECD3A184C0F9D70AC1959F26FB5822B61FD7DE18573932 |
|
CONTENT
ssdeep
|
48:TGiNJBbBdTnMAhblGavrGavQ5Z3bQDDFfhSuCqP3sYaP1IiL:TGO3UaiaeZ3uDFspNIiL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8506871513ff5ae |
|
VISUAL
aHash
|
0000ffffffff87ff |
|
VISUAL
dHash
|
82a29618e0475725 |
|
VISUAL
wHash
|
0000f3ffffff0101 |
|
VISUAL
colorHash
|
0e1c0008000 |
|
VISUAL
cropResistant
|
a69619c580577725,008292929a00b2b2,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)