Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0422024F3841515C59F08C4A0E0EB7B226E9BCFB90769E7CA164B7986ED470FAD91CC |
|
CONTENT
ssdeep
|
192:WavCMRaTK0VPrH0t74xq6UIUq1nZwa/LXlhJGoGdwCeOpNZAE9usOZ44ouE5:WaZFwDUq6CL1h6mJsOy4ouE5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d322572b552a75a3 |
|
VISUAL
aHash
|
0000fffffffffffe |
|
VISUAL
dHash
|
4a4c18b818183930 |
|
VISUAL
wHash
|
00000f1f1f0f1f3e |
|
VISUAL
colorHash
|
06000030003 |
|
VISUAL
cropResistant
|
100c4d4c4c4c5824,4c0c183818181930,041a1a3ab23a1a24 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.