Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BA38B33411835274437C6D530A55B3BE2E69A4FF9A70A410EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:6lLz4NP/y9svbliCdQZj92aLPiFtiuCa28y2O9:6mA1x9Dbh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed129d6d9603 |
|
VISUAL
aHash
|
00800000040400ff |
|
VISUAL
dHash
|
190d4b43cd4c73f8 |
|
VISUAL
wHash
|
80e5f3390c0c3cff |
|
VISUAL
colorHash
|
31600030000 |
|
VISUAL
cropResistant
|
fefeffdfdffffefe,a800a08138388090,13094b4b43cccc73 |
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)