Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FE2D730A009A83F06AB63D6E771A35AB2CA838AE917171A42FDC74D6FDFC50DD13459 |
|
CONTENT
ssdeep
|
384:2xII04pIIIII9tlBmH1+8BV4q2ZRxghuDoAyGJDy4qbbHpW:yIIrpIIIIIQlIq2Z/gh87ly4q0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e37d1e183963c6 |
|
VISUAL
aHash
|
00e1e7ff7f3c1818 |
|
VISUAL
dHash
|
c7c7cbd3e5e9f070 |
|
VISUAL
wHash
|
00e1e7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c988c0c,0000606068480000,c7c7cbd3e5e9f070 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)