Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A193B7617390253E95574AF4F1EDB7B990BAD35DDA77C918B3BC123223CEC48EA42680 |
|
CONTENT
ssdeep
|
1536:07zPo4K4qta+qYenLoQ7bsW3uQ0tHwW3uQ0tHzuhNRePfnmuA5/3gEQkm4L9yBvL:077o4K4qta+4CveOB34 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c73430383cc7c7 |
|
VISUAL
aHash
|
3e7c7c3c3c300000 |
|
VISUAL
dHash
|
f4e0e0e0e8c0e4e8 |
|
VISUAL
wHash
|
3e7e7e7c3c303c00 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
f4e0e0e0e8c0e4e8 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.