Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7C2C630F0506B3F808797CCF7E2E77B62DA424DD956060642FE93AD97E7C81E95241A |
|
CONTENT
ssdeep
|
768:v71xy5NQdYtHzZqddLpgV6NjgSAU933JQvmMJV9UggsWVVaueOjoMpbF7sBLy2+b:IgaVBSB33fFfF7sBLy2+UuK4/LIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343fc38bd28c5c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
98c8cccac8cc9300 |
|
VISUAL
wHash
|
00ec74702e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080c0024c888000,90c8ccc8cacccc12 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.