Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AA3F373E07D697BCA0E55CED063B6F8A0B3510E87C0E7B8C0B549329505EB226AD677 |
|
CONTENT
ssdeep
|
1536:ygDWR3JbIFj7OdOsvIFzIw25+7cm5huWFUi4/:ygDWR3ptl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec3c92c3e11c2e67 |
|
VISUAL
aHash
|
ff9f9193f3d1fefe |
|
VISUAL
dHash
|
0025373203332004 |
|
VISUAL
wHash
|
ff9f81838181fcc2 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0025373203332004,b4d96a26932964d2,b55b2ea5522b65d2 |
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 199 techniques to evade detection by security scanners and make reverse engineering more difficult.