Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161A37B33411935274437C6D530B65B3BD2A68A5FFAA70A010EECD7FA2BFAC90745B11A |
|
CONTENT
ssdeep
|
768:RCpczOXLz4NP3+mZY9svblTOCVrGJCzMXWgFtiuCa28y2OZL:kPLz4NP/y9svbliCdtuFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c253dd3a9129b96a |
|
VISUAL
aHash
|
00300000000000ff |
|
VISUAL
dHash
|
c8ccc0c8cd8dc3e4 |
|
VISUAL
wHash
|
0cfe70207c6170ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,c8ccccc8cccd89c4 |
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.