Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187A37933411975274037C6D530A95B3BE2E68A8FFA970A014EECD7FA1BFAC90745B11A |
|
CONTENT
ssdeep
|
1536:VT9ULz4NP/y9svbliCdEpj9TuFFtWAuCa2nX2ZP4:VT0mAXpj9Tu84 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c70b953af12abd0a |
|
VISUAL
aHash
|
0000000000007fff |
|
VISUAL
dHash
|
48e0c0c8c8c4e198 |
|
VISUAL
wHash
|
003c70e0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000000118588090,48c8e0c0c8c984e0 |
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)