Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFB37933411875274437C6D130A55B3BE2A6D95FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:ySLz4NP/y9svbliCdhjPxz71FtiuCa28y2O9:bmAMF7W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f612cd38b86d |
|
VISUAL
aHash
|
00240000000406ff |
|
VISUAL
dHash
|
cccc48c0cccc0d92 |
|
VISUAL
wHash
|
0cfe10383c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3e3cf8ecee3c3,09009081303080a0,dccc48d0c8cccc0d |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.