Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13302B73381319419853FB089F7D1E78D6277C34AE36286E985AA615EA5C6AB148333DC |
|
CONTENT
ssdeep
|
192:jzpczzPzVQc+cRc0cZcCceMYHeWiJeW5bNCPFrnPuzQTtscI:jkTic+cRc0cZcCceGWnWSP3I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c464d69b319c63ce |
|
VISUAL
aHash
|
7e7e7e183c3c3c3c |
|
VISUAL
dHash
|
92e0e0b2f0e8e8e8 |
|
VISUAL
wHash
|
7e7c38183c3c3c3c |
|
VISUAL
colorHash
|
090000001c0 |
|
VISUAL
cropResistant
|
10100933c4d46061,54d472285692aab2,8082a2aaaaa2aabe,f2d8cca8a2e692b4,92e0e0b2f0e8e8e8 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.