Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0A36933415935274437C6D530A55B3BE2E68A5FFAE70A010EECD7EA1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:SKLz4NP/y9svbliCdfFb3FtiuCa28y2O9:xmA8q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c372d43a9969c54d |
|
VISUAL
aHash
|
00006000000000ff |
|
VISUAL
dHash
|
9c4cc0c9cdcf61f8 |
|
VISUAL
wHash
|
00f4f0200f05ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
6900a080303080a0,9c0cc4c8c9cdcf61 |
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.