Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AA3BA27422935274437C2C1347A5B3BD1A6D99BFAE70A010EECC7FB6AF9CA0741B119 |
|
CONTENT
ssdeep
|
768:3UtpR4nXF6YjOpSpFlTC6rr74AQW+nr9EXmxUqr0p0Tg:ktpR4nXBKpSpFl26vUAQW+r9wMPTg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0611f3b8de0e6cd |
|
VISUAL
aHash
|
0000f0f17804783c |
|
VISUAL
dHash
|
d8f0e7c3d3ada1e8 |
|
VISUAL
wHash
|
0068f1f178747c3f |
|
VISUAL
colorHash
|
3a000030000 |
|
VISUAL
cropResistant
|
3717491a0848c9a9,d8f0e7c3d3ada1e8 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.