Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1E2B731D005A83F06A762D5EBB1B76A23C6438DD947072A42FDC75C4BEBC50ED2B4A9 |
|
CONTENT
ssdeep
|
768:sII9MuBTIIIIIoHLvaxJl3cvNXiSLRZ0CFsyn:sII9lIIIIIoHWxJl3cFHNZ0CWo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
82e37d1c1c39e3c6 |
|
VISUAL
aHash
|
00e1f7ff7f3c1818 |
|
VISUAL
dHash
|
87cfcbdbe5e9f070 |
|
VISUAL
wHash
|
00e1f7ff7f381808 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3c2dd888c8c,0000706168440000,87cfcbdbe5e9f070 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.