Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7F243B4D2548D3B00ABE2C6D770BB5F72E2928AD957420207F897785FDBC94EC13899 |
|
CONTENT
ssdeep
|
768:HJkx858VMTAzhdzVJNJzo1zz8vzqCzui72zCW3zCPBbmbglTaHSQ6wFUrL4cudlT:qpxyHkr2SXqpLRKBgEQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a94d461656736d4d |
|
VISUAL
aHash
|
00fbfbefff83cbff |
|
VISUAL
dHash
|
4d121212203f1b23 |
|
VISUAL
wHash
|
008bdbebbf8181f1 |
|
VISUAL
colorHash
|
07000000640 |
|
VISUAL
cropResistant
|
1612121a203f1b23,0023034b4b030300 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)