Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8A37A33411935274037C6D530A55B3BD2A79A5FFAE70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:xfPUUsU1/Lz4NP/y9svbliCdzBXCo8CFtiuCa28y2O9:TmAmuB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd36d02c8512 |
|
VISUAL
aHash
|
00000000040000ff |
|
VISUAL
dHash
|
1c49d3e3cccc6698 |
|
VISUAL
wHash
|
c0fd71300e003fff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
000180815c588090,1449d3c3c9ccc434 |
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.