Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E230A7343646039008E49ECDAA4755EB7C9D49EEB428B8072FC867DDAD3DD8DE30A49 |
|
CONTENT
ssdeep
|
768:Qv0e//RRDvm7+NB9XjzoHBBxLIcA9NiiV/ugzF4:Qv0e//RRDvm7+NBABxLIc/iV/XO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1f2723e8e0f6352 |
|
VISUAL
aHash
|
ffff6c7f3c000000 |
|
VISUAL
dHash
|
4c8cc8f2f0f0f060 |
|
VISUAL
wHash
|
ffff7c7f3c000000 |
|
VISUAL
colorHash
|
31002200040 |
|
VISUAL
cropResistant
|
4e4c0084008c8c8c,9c0c44b2123ad9d7,477ef4b4b4b6e080,d9f2f24b4ac8c84a,1c51525253519392,0ccccccccccc2c0c,8cc8f2f0e0f06064 |
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 650 techniques to evade detection by security scanners and make reverse engineering more difficult.