Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1835175638108DD3B9260C0D8E570636D5ACD818E97470B59EAEC477D31DA9FACC2EDC8 |
|
CONTENT
ssdeep
|
48:c136lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:sCRdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a248d97276d9dd22 |
|
VISUAL
aHash
|
c181831b270f0f1f |
|
VISUAL
dHash
|
010212310e121516 |
|
VISUAL
wHash
|
c1c19b1f070f0f1f |
|
VISUAL
colorHash
|
07000408010 |
|
VISUAL
cropResistant
|
010212310e121516 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.