Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151F162E1D050ED374B1281C5A7B67B2B76A1C35ACF060D4093F853BE6BCAD61CB129AD |
|
CONTENT
ssdeep
|
96:TkOOTp4z8pDfST8htyt7RDYGt7RRLwvlZ2eeXgHlDe6tX22E/ZYl+AT431:QXTp4z8puohtyvDYGvRuDYGExG8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7ce83c708fc |
|
VISUAL
aHash
|
ffc7cfcfcfcfff7f |
|
VISUAL
dHash
|
009c9c9a9c9400d0 |
|
VISUAL
wHash
|
3c0404040f0f003f |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
009c9c9a9c9400d0,73e4d89c9c9cc472,0816696996480000 |
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)
Found 1 other scan for this domain