Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D753537252467A6F138343D1C728A35EA3C2C64DD7E14D87EAEC831E7687DE0DE26264 |
|
CONTENT
ssdeep
|
1536:HFa0lK7NLIhhc26PQ68c6Qy6h/6Lu4+xm/r8KdtSmc3iLC:nMJkhO26PQ68c6Qy6h/6LbtC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ac2c3e9e8b361 |
|
VISUAL
aHash
|
ff1e8e8b8bff9f8f |
|
VISUAL
dHash
|
69343c33333a353a |
|
VISUAL
wHash
|
fd0e0e01898f8f8f |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
69343c33333a353a |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)