Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1521221E1D064EC36075385D9B7B57B2B7772C388CF02095453F4536A6BCEDA18B228AD |
|
CONTENT
ssdeep
|
192:Q6kURth4YnzH0LNMVRBajdrLT6lvzG4661xDg8K:Q6kUX4YzEMVRmVLTgX6gDg8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b31b3f083ec4e313 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
1bdbdc9bdbda9a1a |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
16007000000 |
|
VISUAL
cropResistant
|
8ccce08c8c808080,0c32b2e6e8ccc413 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.