Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAA2B73160502B3F1183C3C9B7A2F76DE1D79289D789180A53F8875E8BE6E90DD2395B |
|
CONTENT
ssdeep
|
384:n3y5N/qK2QrBO9eGnO/CTvOhfEO+wNd8L4Dnaw5dv643IYsOy2+y9BH4cCUIe:n3y5N/q0reO/CTvOhfEO+w+4Dn15Rd71 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767fc3a91699092 |
|
VISUAL
aHash
|
000020200400ffff |
|
VISUAL
dHash
|
1c4cc2cbccedc300 |
|
VISUAL
wHash
|
80f070601e05ffff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
0000609696062000,0080800270908000,1c4cc4cacbecede3 |
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.