Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCA37933411975274037C6D530A55B3BE2E68A8FFA970A014EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:cRySxLz4NP/y9svbliCdkSO1TuJFtWAuCa2nX2ZP4:EySxmA1SO1TuA4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c70bb52ad83abc0e |
|
VISUAL
aHash
|
0000000000007fff |
|
VISUAL
dHash
|
48c8c0c8c1e4c9d8 |
|
VISUAL
wHash
|
003870f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c800000058588090,29c8c0c0c8c0a6c8 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.