Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17233B672A2483437227B59C5F4B57F0A75E3C60DCA0305D6B2FD62BA0FF6C92B912646 |
|
CONTENT
ssdeep
|
1536:ED0XGhWhhhZ1a5DUTMYjDKZyhcVqcy81h9Ro9iMgGRJ+XkELEE:c0X/hq5GKZyhcVqcy81h9Ro9iMtRJKp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc9893656593654d |
|
VISUAL
aHash
|
1cdfdfcfc3c3ffc3 |
|
VISUAL
dHash
|
d23938ba86865816 |
|
VISUAL
wHash
|
00cfcf8f8383bf81 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
d23938ba86865816 |
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 137 techniques to evade detection by security scanners and make reverse engineering more difficult.