Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185121EE1C154EE3B472685C5EBB06A4BB781C349CB07194093F883AF6BCAC61DE655EC |
|
CONTENT
ssdeep
|
192:QF7y5SzeFdDWc/tQBWyky77M1zLPszePMT2A:QF738DDtQBWg77wPszss3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2956ad99d4a6295 |
|
VISUAL
aHash
|
ffffe7ffffe0e0e0 |
|
VISUAL
dHash
|
0c0e0e0d0c090945 |
|
VISUAL
wHash
|
e7e3c3e3e3e0c0c0 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0c0e0e0d0c090945 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.