Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128C11EE0C414EE37475286D49BB66B0B77D2C359CF021940A3F887AB57CAC60CA265A9 |
|
CONTENT
ssdeep
|
96:TkVMgjzeNNeSTgGpG3jlgRXmHlWtXrz/9Y3kPk8J:QKgjzeTkGpG3HAzVdPd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca2535784ab4dbca |
|
VISUAL
aHash
|
0000bdfcfcfcfcff |
|
VISUAL
dHash
|
8763696969410401 |
|
VISUAL
wHash
|
00003c3cbcfcf8ff |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
8763696969410401,1c0d2d25851e3c30 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.