Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D2211E1D064ED36476281C5BBB57B1B77E1C388CF020E4453F8536B6BCADA1CA225A9 |
|
CONTENT
ssdeep
|
192:QfmLB/zYhhC7tu/l8i+PuuYL0oeEBu0JElU8F:QfmLJGCkd1+PuuYL7u0Wa8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8076a67c03fc89f9 |
|
VISUAL
aHash
|
62647e7c647eff7f |
|
VISUAL
dHash
|
c4ccd0ccccd408d0 |
|
VISUAL
wHash
|
6264381c485cff3f |
|
VISUAL
colorHash
|
070000001c1 |
|
VISUAL
cropResistant
|
c4ccd0ccccd408d0 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)