Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7525320A1B64C3B116FB1E4EAE4771316D7E307D78237F2A5E860B417C9CA4BD172A5 |
|
CONTENT
ssdeep
|
192:pRJQr9FxMkOQTkOZStZOziAmZ4YYgMAEW1Oh3mWtnGX1i/rKW:jJ66dqXziAmioWtnGXM/rKW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcf661e61cd24196 |
|
VISUAL
aHash
|
ffffffffffffff00 |
|
VISUAL
dHash
|
060f063228900012 |
|
VISUAL
wHash
|
818183839fffff00 |
|
VISUAL
colorHash
|
07000008043 |
|
VISUAL
cropResistant
|
060f063238200000,0000001252321212 |
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 159 techniques to evade detection by security scanners and make reverse engineering more difficult.