Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFE123E1D048DC3B135385E5B7F5275F7696C345CB020E8863F853EA5BDAC60C923A9A |
|
CONTENT
ssdeep
|
96:Tkf8Y79oh4lzH030eGuVavkEBHwvFvexXTHFuetfXbz/1Va8lQPJ:Qfh79oh4lzH03suIkEV1HZz9dlQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c34361bcbc3cf4 |
|
VISUAL
aHash
|
0020ffffff000000 |
|
VISUAL
dHash
|
d8cdc4200c400800 |
|
VISUAL
wHash
|
207fffffff000000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
d9cdc40034300848,4667a8494a984b4e,044428c9d4c9ccc4,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)