Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EF2C635B4702A7F411783E476309BA9F2E7834FC6738289E3F583653FA2C51E856868 |
|
CONTENT
ssdeep
|
768:PpBkqcm/cPl8fnDnEW9V4jFPIFERcpVhe9WK:xB/cm/cPl8PDEW8IqRcpm4K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9650ed4969ea1796 |
|
VISUAL
aHash
|
000006000000ffff |
|
VISUAL
dHash
|
92cccc89d8d82323 |
|
VISUAL
wHash
|
00766e440c0cffff |
|
VISUAL
colorHash
|
3a401000040 |
|
VISUAL
cropResistant
|
f73535b5b3fe1800,28002f2b3723332b,96c3ccccc998d878,616362925b63e2e2 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.