Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B33250231086996C2F384995510269072C7DB4FCA7187704ABD8E3F2FE2A6567E9F7F |
|
CONTENT
ssdeep
|
384:uOtIKRK3Tyl+R7GLKTmekDx+pgbingbO0z0gb5PyUXgb5Py8vggb5PymVPNBgb5m:Q32oRqenkF1qsxwdrqU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ceb291b7162dc269 |
|
VISUAL
aHash
|
fffff090f0f0f1f8 |
|
VISUAL
dHash
|
0c43212565456361 |
|
VISUAL
wHash
|
ff31f010b0f0f0f8 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
0c43212565456361,275161e8c46d0f1d,0f3331697971330f,072b69696869330f |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)