Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA718AB52383144D7B83FAD6A4127F1A554FC12DEE0BC82CA26C592B67C5FF1C6A0297 |
|
CONTENT
ssdeep
|
48:TuHcev22arcUnLdTdv+iq8NLls449IT4xuifr+aVlr8JC00Ldq0vtNf9qVvBOO1m:TL128mGMfrhPr8KxvtNoVXpe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7765c0d590d2772 |
|
VISUAL
aHash
|
00ffffffffff3fff |
|
VISUAL
dHash
|
80080c0c08ec6000 |
|
VISUAL
wHash
|
00e7e7ffff0f0000 |
|
VISUAL
colorHash
|
07202000080 |
|
VISUAL
cropResistant
|
ac0c0c0c08e84000,0000014141018000 |
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 243 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)