Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15132862183111D05637BACE4B692DB8F6313C34BA209CE6C5BEC456AE6CE170D9A77CD |
|
CONTENT
ssdeep
|
192:z5zhiPx7mqYDNL1x22Wprm2V+96YuCG4OBsfzKI3:9Y+DNUpyiBsfzKI3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d0fc1f8707f160b8 |
|
VISUAL
aHash
|
ff80c0c0007fff00 |
|
VISUAL
dHash
|
c0209090e4d2029a |
|
VISUAL
wHash
|
ff80e0e0127fff00 |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
d020809060c4dbdb,0000609080600000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.