Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120D2B632A1002B3F5193C3C9B762FB2EE2E78289D746051557F943AE4BE6EC0DD1355A |
|
CONTENT
ssdeep
|
384:LLy5NISM2rkcAea+pPLnE6pDx8Ws8Dr4hWjsG/aLmeHL5IYsOy2+y9BH4cCUIe:LLy5NISQCV/aqeF7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
836dfc12e91293cd |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
1e47cdc9c86ccc00 |
|
VISUAL
wHash
|
00e17d20003effff |
|
VISUAL
colorHash
|
39600008200 |
|
VISUAL
cropResistant
|
0204209c8c0c2000,c400800158988000,1c47c5c9e9c8e8cc |
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.