Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180A36A33411935274437C6D130A55B3BD2A6995FFAE70A010EECD7EB2BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:zrtQ9DjLz4NP/y9svbliCdLAxKe9kFtiuCa28y2O9:amAv8e9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c162d13ab32bbd49 |
|
VISUAL
aHash
|
00707000000000ff |
|
VISUAL
dHash
|
dcc5c3cbcc2cd3d0 |
|
VISUAL
wHash
|
00fffb71340030ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d080800130308080,dccdc3cbc9cc2cd3 |
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.