Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197515631A20C1D3E6113CED0D561372D36EFC289D74A1528E9B902B9E7CAEE9D4275F8 |
|
CONTENT
ssdeep
|
96:TNeBXiJn8BOCidWEoxK55IY3uoQQiNPLr:ZeBXiyBq0eZetJPP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3133cc66779931 |
|
VISUAL
aHash
|
00181a1818180000 |
|
VISUAL
dHash
|
0810103430320c00 |
|
VISUAL
wHash
|
0c0018181b1b0303 |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
0810103430320c00 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.