Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185E161F29049A87B0253C3D290667B47A6F7C609DF124E26D7F40B9EDAD4E90FA23059 |
|
CONTENT
ssdeep
|
192:cC868R0Ifh6xJHfSZ0fLzJ17kXjRZtCqb:X8R0Ifh6xJHfSZ2LzJ17kTH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc3363333366cc |
|
VISUAL
aHash
|
3c3c3c1818101808 |
|
VISUAL
dHash
|
e8f0f0f0b0e4b2f0 |
|
VISUAL
wHash
|
7e7e7e3c3c181818 |
|
VISUAL
colorHash
|
30000030000 |
|
VISUAL
cropResistant
|
e8ccc8c998b0a6e0,9aa24c4d4d4cb282,e8f0f0f0b0e4b2f0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.