Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141A3DC23421935274437C2D1346A5B3BD1A69A9FFEE70A014EECC7FA6BF9CA0741B119 |
|
CONTENT
ssdeep
|
768:cn/5tpR4nXF6YjOpSpFlTC6rr7PNMXCuB/hTN54XpMA6AZ:cnBtpR4nXBKpSpFl26vzNiCY/faqAxZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2e4983ad1c1e6dd |
|
VISUAL
aHash
|
7c31717078041c3c |
|
VISUAL
dHash
|
d8e1c7c3c12df8f8 |
|
VISUAL
wHash
|
7e797171f8041c3c |
|
VISUAL
colorHash
|
31006000000 |
|
VISUAL
cropResistant
|
634b999192d2dada,d8e1c7c3c12df8f8 |
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 125 techniques to evade detection by security scanners and make reverse engineering more difficult.