Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174F104E1C044DC3B131385E5F7F5275FB6A5C345CF020A8853F852AB5BDEC60CA26A99 |
|
CONTENT
ssdeep
|
96:Tkx8179oh4lzH03feGnV34eEBuwvFOexXgHFjeJXEz/dV3tqQkR:Qxg79oh4lzH031nCeEniE6zFXqQi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9303437dbc3cbc86 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
06d9e1200b236c12 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
dcc9203038300809,4300000000000000,0404002048c8d4ed,0333232321ec6963 |
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)