Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149244150F2E29C32305F81F2A4A467095092FBBBC7411BC767B156F5EBF58B9380E299 |
|
CONTENT
ssdeep
|
3072:IRCSI4rspAfX6mQHYWSTMShy7jWz8QXtrw640y3vbOkpZ++BOWznw7/jSeOC37LA:IBMebeOG8P+n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8060057c7f7f6f03 |
|
VISUAL
aHash
|
000effffffffffff |
|
VISUAL
dHash
|
00b0c0008000a0e0 |
|
VISUAL
wHash
|
00003f3fff7f003e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
8000c082a2800080,b0c040800028f0e0,4145808280c02120 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)