Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177A37933411935274437C6D530A55B3BE2E6994FFAE70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:DHgm4PhJLz4NP/y9svbliCdEI1ZF1mJEEFtiuCa28y2O9:VmmAHInF1BH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d53e9c09b543 |
|
VISUAL
aHash
|
00606000000000ff |
|
VISUAL
dHash
|
9cc9cbcbcc0cd3f0 |
|
VISUAL
wHash
|
00fffb71240038ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
c080c12030808080,9cc9c3cbc9cc2cd2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.