Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1A36A33411935274437C6D530A55B3BE2A69E4FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:5mwLz4NP/y9svbliCdAOaFtiuCa28y2O9:gumA0J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767f838992cc703 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
044cccc6cccd0398 |
|
VISUAL
wHash
|
c0eef6200400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
8000a08138188090,940cccc6d0cde503 |
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.