Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F46314B49396CA3744F7C2E1B3A95B2B32E8424DC9530A0707FCA3A91BD9D9BFD01456 |
|
CONTENT
ssdeep
|
1536:d/B8eCNUlHv7d+4KQIiNeBcWz4Aq52xtkppfI6dybmsAPA/0hA9NynETIcGGzoTg:rwudt67zIMcocdtZWaFIR9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9e699336666664c |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
1818181818181818 |
|
VISUAL
colorHash
|
30000030000 |
|
VISUAL
cropResistant
|
367c3c29db52ca81,9b6c6f7f7f7d4e1a,b2b2b2b2b2b2b2b2 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.