Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4933AB03659F5661AF343A3109F1502B378562B940E4C20B351FCAE76BCC9BA167FDA |
|
CONTENT
ssdeep
|
1536:UMXPvbpWpFo2h20VTgHd8tVPTMnEXCd0uq+wSRKF:UMXspMug98nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc2733d9cc2633 |
|
VISUAL
aHash
|
0000003c3c000000 |
|
VISUAL
dHash
|
0000207170140000 |
|
VISUAL
wHash
|
81003c3c3c1c0099 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
0000207170140000 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.