Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125234A72A332B4B843DF91DEE7382D46B2D2989DF8C74554B1C95A8E13C3C846297BB4 |
|
CONTENT
ssdeep
|
768:aUEf++EsZx8/G84D4pDawMM5BvwUM5B0qN2/y9dGDUDF1E56ITmH+LXPnTyPqDvx:aI+EsZ/84spDawMM5BvwUM5BtN2/y9d0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea529ada6c68389b |
|
VISUAL
aHash
|
bde7c3c3e7e7ffc3 |
|
VISUAL
dHash
|
39690f170d0d4d17 |
|
VISUAL
wHash
|
8de3c1c1c3c3e7c1 |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
39690f170d0d4d17 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.