Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180A37B33411935274437C6D530A55B3BD2A69A4FFAA70A010EECD7FB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:sKvLz4NP/y9svbliCdfZdEKyhw/FtiuCa28y2O9:tmA+U0k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed128d6d9613 |
|
VISUAL
aHash
|
00800000040400ff |
|
VISUAL
dHash
|
0d094b43cd0c73f8 |
|
VISUAL
wHash
|
80e7e3092c0e3cff |
|
VISUAL
colorHash
|
31400038000 |
|
VISUAL
cropResistant
|
fefeffcfcffffefe,2000a08138308090,0d0d4b4b4bcc0c73 |
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.
Pages with identical visual appearance (based on perceptual hash)