Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AC2B671A1002A3F019BC3C9B722B72FD2E39289DB4A180652FC575D8BD3E90DE13567 |
|
CONTENT
ssdeep
|
768:wSCy5NPiBqO8PPKKov+Ybh7sOy2+y9BH4c1Ie:SBqOkkd7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9367b53acc28d0cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c2c0c1e99900 |
|
VISUAL
wHash
|
81ff3030000cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,1e484ae0c0e9e90d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.