Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1E113E1C044DC3B531385E6F7F52B5F75A6C345CB060E8853F892EA5BDAC60C923A9A |
|
CONTENT
ssdeep
|
96:Tkq8j7kh4lzH03meGnV/zAEBswvFke5XyHFge5X5z/nV/N2rQPJ:Qq67kh4lzH03unlAEPE5nz/6rQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303477cbc3cfc86 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
06c9e92009236913 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
dcc9c8303830080a,4300000000000000,04044020cbdcd5c9,03332323e0cc6363 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.