Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B54DF234219792A4437C3D034699B7BD1A6DE8BFAA70A404EECC7F76AFDC50741A21D |
|
CONTENT
ssdeep
|
1536:3dUgQmTa3MZo+Hd1+Kd+/fFd+Smfu4/ZT4oU5ynydvrp/N5RZovVSKIwmvSpO5Cq:tOQzoFfQ10rp/NONS4Yn5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e1ee7409acb98b8 |
|
VISUAL
aHash
|
00001c1c1c1cffe7 |
|
VISUAL
dHash
|
4b26397131310e8e |
|
VISUAL
wHash
|
00009c9c1c9dffe7 |
|
VISUAL
colorHash
|
07180000000 |
|
VISUAL
cropResistant
|
4b26397131310e8e |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.