Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120E12FF1D400ED3B435386D9A7B96B1BB7D1C349CE470A44A3F883AA9BDAC60CA1159D |
|
CONTENT
ssdeep
|
192:Q7LwaLpAnbzD715lt8iIGd3w6lTP3At+8tVW3kadw:Q7LwaLp6nf1Z9w6lT/U1kkadw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e41b9b6464e665 |
|
VISUAL
aHash
|
fffff3f3f3ff0000 |
|
VISUAL
dHash
|
203626a626061804 |
|
VISUAL
wHash
|
dfc3c3d3f3f30000 |
|
VISUAL
colorHash
|
070002001c0 |
|
VISUAL
cropResistant
|
2230262626262600,f87cf0f29ec2c9f8,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.