Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101A37C33411935274437C6D530A55B3BE2A69A4FFAA70A010EECD7FB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:su5Lz4NP/y9svbliCdz6fHOFtiuCa28y2O9:tZmA6Ad |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362fc3a9969c50e |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
0c4ccccaccccc3b8 |
|
VISUAL
wHash
|
c0eef662042079ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0300a08138188090,840cccced0cccdc3 |
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.