Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DA36A33411935274437C6D530A55B3BD2A79A4FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:IzLz4NP/y9svbliCd06qFFtiuCa28y2O9:smAE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc32e91c9669 |
|
VISUAL
aHash
|
00600000000400ff |
|
VISUAL
dHash
|
8cccc4d8d9cc3db2 |
|
VISUAL
wHash
|
c0fefe30640e00ff |
|
VISUAL
colorHash
|
310410002c0 |
|
VISUAL
cropResistant
|
ca55714d4d715596,008081303000a000,9cccc4e0d8dc2c73 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.