Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF92C632A1542A3F1153C3C87362FB1EA1D38298D7851815A3FC475E8BFAF90EC2795A |
|
CONTENT
ssdeep
|
384:/Eipy5NGFeED4hEW3bl7CKzxyVTxbi+I0YXQKm5ConIYsOy2+y9BH4cCUIe:fpy5NGsHyVTxbi+I0YX9mEy7sOy2+y9R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343fd38986d9692 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
9cc8c8c3cccdf600 |
|
VISUAL
wHash
|
00f470700f01ffff |
|
VISUAL
colorHash
|
39000000180 |
|
VISUAL
cropResistant
|
100c327272281400,0080800270908000,9cc8c8c0c3cc8df6 |
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.