Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178E2B531B0403A3B4297C2C9B762F72EA3E68345DA5A051592FD836D0BEBC90EE73559 |
|
CONTENT
ssdeep
|
768:WS5y5Nq6J6Gjlg7pK9hQf1Hy6eF7sOy2+y9BH4cLIe:c49KYgF7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269fc12cd0d92ed |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
19094b4bc90c3c00 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffcfcffffefe,0080800078908000,1009490b4bc95c3c |
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.
Pages with identical visual appearance (based on perceptual hash)