Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8A38A33411935274437C6D430A95B3BD2A69A5FFAE70A010EECD7FA1BFAC90B45B11A |
|
CONTENT
ssdeep
|
1536:hPQj7U1gLz4NP/y9svbliCdroWCoPdFtiuCa2nX2ZE:ymAmlg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd12d02c9703 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1c49cbc3c8cc7698 |
|
VISUAL
wHash
|
c0ff71300c061eff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
000a80815c588090,0c49cbc3c3dccc34 |
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.