Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110A37933411835274437C6D530B65B3BD2A6DA5FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:t7OdLz4NP/y9svbliCdGhP2xIEK6AFtiuCa28y2O9:VumAX5t6j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec3c3c468472e |
|
VISUAL
aHash
|
fb8f819b9fdfd9fe |
|
VISUAL
dHash
|
63393b37353533b2 |
|
VISUAL
wHash
|
b18f81859d8d81fe |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
63393b37353533b2,b534391d5c6c6e15 |
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.