Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A42D837E40046394FA341DEF694B2D8D26FC359FB708482E1F881AF6681EBC526239D |
|
CONTENT
ssdeep
|
192:yQWXpadR4honU6ObjDHMozsl8OTAAfPCCQGy/fMmUU8VCoE:yQKpuRlU3HdOBXCTG4fMmUFCoE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c9c6c3ccc992c7 |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
131f1f16161e1b07 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
131f1f16161e1b07 |
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.