Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150A38A33411935274037C6D530A55B3BD2A79A5FFAA70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:KoaZQIUUcWSLz4NP/y9svbliCdTovCoscFtiuCa28y2O9:nbmA1sP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d92c9402 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
1c4bc3c3c8cce6a8 |
|
VISUAL
wHash
|
80ed71302c067eff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
000180815c588090,1c49cbc3e3ccc4f4 |
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.