Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCE353A07943553A71AF51CF93271B0D62C1E7CADB925BD5A2F083189EF6C90FFA1260 |
|
CONTENT
ssdeep
|
3072:K54mWZv9M8AUZVo7rT41MOmOLpughMXLqjMvN:K54mWZv9M8ACVo7rT41MOmOLpusMXpN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3026ce41bd3ff08 |
|
VISUAL
aHash
|
00002c6c00fcfe00 |
|
VISUAL
dHash
|
d4c8c9d948000040 |
|
VISUAL
wHash
|
62007c6c0cffffc0 |
|
VISUAL
colorHash
|
30001000180 |
|
VISUAL
cropResistant
|
0000000000000000,d4c8c9d948000040 |
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 96 techniques to evade detection by security scanners and make reverse engineering more difficult.