Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECA39C33411975274437C6D530A55B3BE2A6DA5FF9A70A010EECD7EB1BFACA0B40711A |
|
CONTENT
ssdeep
|
1536:CNxtLz4NP/y9svbliCdTTan3AtFtiuCa28y2O9:yHmAUan3Ae |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b012c7aaf9e8f468 |
|
VISUAL
aHash
|
3e1c028fcfcff3fe |
|
VISUAL
dHash
|
f0f09c3c1d1c37a2 |
|
VISUAL
wHash
|
1e1c008f87c7c3fe |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
f0f09c3c1d1c37a2 |
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.