Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136B3AB33421935274137C2D520A95B77E2969E4FFAA30B010EECD7FB6BEACA0745A119 |
|
CONTENT
ssdeep
|
768:MCJVxZ/DFTksPhwfjTOIhIEBa4QjViPRPVcC71f6YEN5RAfd7KpF:dZRTksPSGIhIEBa4QjoPRtcdW9KpF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9612e9e80e97bcc6 |
|
VISUAL
aHash
|
dd00060600ffffff |
|
VISUAL
dHash
|
21ccccccec330035 |
|
VISUAL
wHash
|
ff00060600ffff0f |
|
VISUAL
colorHash
|
13000000180 |
|
VISUAL
cropResistant
|
21407131317100a1,e060605180713386,b434081a38300000,a4ccccccccccccb3,7f7f7f7f7f7f7f7f |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.