Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C25496A1B11CCD3941EB9FE471B72A2961BEE307DD4603DDE69683F40693C68E933588 |
|
CONTENT
ssdeep
|
3072:ar92JWBVbcbJbvWf33Qa8VqYSEZ64vsuncRJzxBVPqOi40ft7e2OFCsxW9207e8N:Qff3jkEUiA15 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
998666993966cc9b |
|
VISUAL
aHash
|
0018181818180000 |
|
VISUAL
dHash
|
4732333332323653 |
|
VISUAL
wHash
|
819999999d9d9b89 |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
b4b4d05061736206,faf8e1e9bbfbebd8,66a672f2d0e8d8c8,aacc2b2b2b2b8c88,4732333332323653 |
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 165 techniques to evade detection by security scanners and make reverse engineering more difficult.