Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B152217080A5A92352A386C4B7B29F5B33808345D7631F1657E8C36EEFDBC66DC1A185 |
|
CONTENT
ssdeep
|
192:QqdX9nQrM3CJI4ATPPmuahuMuZNV35jDVbWQ8yyRYpcWiYUFGn7znb:Q8QrQCJsT3BahuDZNVpj5W86WWW7jb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8ce3376cc898c71 |
|
VISUAL
aHash
|
ffc3d999d3c3c3c3 |
|
VISUAL
dHash
|
b097b2b2b2969696 |
|
VISUAL
wHash
|
7e43595bc0c3c3c3 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
86808e8eb269e1b6,b097b2b2b2969696 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.