Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157E123E1C044DC3B135386E6B7F62B5F7696C355CB020E8853F853EA5BDAC60C923A99 |
|
CONTENT
ssdeep
|
96:TkU579oh4lzH030eGnVFxyEZwvF7eJX7HFHeRX8z/HVFQuQPJ:QU579oh4lzH03sn5yEZJcWzfouQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c38f4561bc3cbc86 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
26d9e92008d8c494 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
dcc1203038300848,8400000000000000,0404000008c8d4ed,9a92d4d4ccc49494 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)