Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2721E237044922E8ECB90EDFAC8B659A49E9245F33085825AF8817FDB40DED793472D |
|
CONTENT
ssdeep
|
384:sz9EiRxVrCQDr1OegQfTjM+xVTzPtr/i5ZTfMmUFCoy:s/RzrCQDZOegQfHM+xhzPtr/qZTfBUst |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc69c4c46d399396 |
|
VISUAL
aHash
|
81818181ffffffff |
|
VISUAL
dHash
|
330f0f1b27303e3a |
|
VISUAL
wHash
|
8181818181ffdfdf |
|
VISUAL
colorHash
|
17e00008000 |
|
VISUAL
cropResistant
|
330f0f1b27303e3a,6831898a9a9a9a5a |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.