Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B61977660018C1F321345A9E8977289D0ABC31FC769BE34F67902EB7AC5DE98172292 |
|
CONTENT
ssdeep
|
48:biNJB12U5WNBOBrS0IzIjpMGMJmyzrdh9NaN4f1W8+U5Z3+TqKFf+xSFfuCHmmyd:bbUQkVMGMJhzrXLW83Z3+OKNZmmPFMBj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a85068717237f7a6 |
|
VISUAL
aHash
|
0018ffffffff83ff |
|
VISUAL
dHash
|
92b29618e0575725 |
|
VISUAL
wHash
|
0000f3ffffff0101 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
b29618e588577725,00829282b230b2b2,6567636765656d0d,35b5b4b7b7b6b61a,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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.