Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120A37B33411935274437C6D530B55B3BD2A69A4FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:WyBLz4NP/y9svbliCdx+4JFtiuCa28y2O9:RBmAd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc32e93c9469 |
|
VISUAL
aHash
|
00640000000400ff |
|
VISUAL
dHash
|
9cccc4c8d98c3db2 |
|
VISUAL
wHash
|
c0fefe30640e00ff |
|
VISUAL
colorHash
|
310410002c0 |
|
VISUAL
cropResistant
|
ca55619e9e515596,008081303000a000,9cccc4d0c8dc2c73 |
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.