Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155A37833411835274437C6D130A95B3BD2A6995FFAE70A010EECD7EB6BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:tIaLz4NP/y9svbliCdZO0FtiuCa28y2O9:HmAYOX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34af53e99299c43 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
9cccc0c8c83ececa |
|
VISUAL
wHash
|
40fc78203e0667ff |
|
VISUAL
colorHash
|
31010040c00 |
|
VISUAL
cropResistant
|
0480810030108080,9cccc0cac8cc3ece |
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.