Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8A37933411935274437C6D530A95B3BE2A69A4FFAE70A010EECD7EB1BFACA0745711A |
|
CONTENT
ssdeep
|
1536:f9/1w6v1eLz4NP/y9svbliCdBZCjmzFtiuCa28y2O9:ImA4v4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd32d0698512 |
|
VISUAL
aHash
|
00000000040000ff |
|
VISUAL
dHash
|
1c49c3c3ecccf698 |
|
VISUAL
wHash
|
c0ed71302e003fff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
000180815c588090,1c09c3d3e9ccc434 |
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.