Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A673A626F91D2E7F73C780EAEF38C653F38184948665C2285D9CD3769389CC2E24DA59 |
|
CONTENT
ssdeep
|
1536:ah+EsZ/8yLkNjhDVSMMEBISrMEBE3Uxx+y9dQyDF15KOhqovhek:auJkVbSnSQ3UxxpDzHEk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f343038c08c9f |
|
VISUAL
aHash
|
8787bfdf8fdfffff |
|
VISUAL
dHash
|
3d6d711539363526 |
|
VISUAL
wHash
|
87879f8181939f93 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
3d6d711539363526 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)