Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136C3CF33421979270133C6D430A95B37E2A6DE4FFAA70A014EECD7F72BE9C90B956119 |
|
CONTENT
ssdeep
|
1536:cDJwtsEJPjQBq1Wixx25efusBgsBmLkXlqh0/6R3:20LqwusBgsB0N66h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce16e9e914699669 |
|
VISUAL
aHash
|
0000040410fff9ff |
|
VISUAL
dHash
|
c6ccacaca4231333 |
|
VISUAL
wHash
|
00000404fdfffbff |
|
VISUAL
colorHash
|
1e003010000 |
|
VISUAL
cropResistant
|
d4d4338880608080,808080e868e08080,8080e030b0808080,8080989a9aa88080,0008426969690620,0033331313132330,d6ccccacaceca4a3,32727a7647530b1b |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)