Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114A37A33411935274437C6D530A55B3BD2A79A5FFAE70A010EECD7EA2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:A0r5O/SUkgLz4NP/y9svbliCd/QCoSUFtiuCa28y2O9:fmmAol3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76bfd12d82c8503 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1449cbc3cccc7698 |
|
VISUAL
wHash
|
c0ff71300c061eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
000180815c588090,1409cbc3c3ccc434 |
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.