Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBA38933411935274437C6D530A95B3BD2A69D4FFAA70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:8S/y5N/+SGp9OgLz4NP3+mZY9svblTOCVrhqqiOtTq/L:FSu93Lz4NP/y9svbliCdntTqz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e53c3a1d0ccec9 |
|
VISUAL
aHash
|
00f7fb3024241100 |
|
VISUAL
dHash
|
14ccc6c2c8cdf331 |
|
VISUAL
wHash
|
c2fffb70707c3100 |
|
VISUAL
colorHash
|
38000600030 |
|
VISUAL
cropResistant
|
14ccc6c2c8cdf331 |
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.