Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B93A6B3DA16481B1A43D1F4B2A0294C42DB930FD7528DC473E05D9BBF6ADA2ED7C660 |
|
CONTENT
ssdeep
|
1536:PREty0EtwsSO6itUviSy0NuNaMsj5Nb16OqdhueTkfb9kmgvCPF:PREM0EtwsSO6itUviSy0Nu0Msj5Nb16s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
adadb5585e407bc0 |
|
VISUAL
aHash
|
03273b1318007efe |
|
VISUAL
dHash
|
37ced67333d8d454 |
|
VISUAL
wHash
|
03673f3318007efe |
|
VISUAL
colorHash
|
3a007000040 |
|
VISUAL
cropResistant
|
a9d9cdecfbc9d5ea,37ced67333d8d454 |
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 186 techniques to evade detection by security scanners and make reverse engineering more difficult.