Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB82207090C4AA6B51E282C1A7B09F4B37E48208C7571F055BECCB9FAEDED92DC07695 |
|
CONTENT
ssdeep
|
384:yI9IErarYrMrirLrhrErarYrMLSfoPjrZha08efqLbtj:h9IMiY0KX1MiYgSg/ZhpsZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1dc9b309c8bcc87 |
|
VISUAL
aHash
|
ffe7ffc3c3c34300 |
|
VISUAL
dHash
|
600e169616974f68 |
|
VISUAL
wHash
|
ffe3fbc3c3c10100 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
600e169616974f68,16696917a2b6412a,6949710d35512736 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.