Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184A38A33411835274437C6D530A55B3BE2E6999FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:E3TlgNqWrfaT57GLZSNxas0eE+tohmnaut37WELz4NP/y9svbliCdN33JFzFtiuW:KmA235F4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d538b929b547 |
|
VISUAL
aHash
|
00707000000000ff |
|
VISUAL
dHash
|
dcc5c3cbcc0cc1f0 |
|
VISUAL
wHash
|
44fff371140030ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
c080c12030808080,dccdc3cbc9ac2cc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)