Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED23E8203201B76E6C334F70B34A70A6D1DED384F5E5B96DB2589361B4E2139C786CBA |
|
CONTENT
ssdeep
|
1536:2mq0wA3cnH+9ZzfoR8O6o3E4tdX4zgSfqDZ7U1c/IMLhB3:lZzfL8IA/P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5649a9b1b2d8e26 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
7186969696000660 |
|
VISUAL
wHash
|
00c30303030fcf8f |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
7186969696000660,d8c9c2e4e4652620 |
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 428 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)