Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139C3DA4B6181759BE912B4A371CB58D4E349538ACB94DFEA63F84603A7F1E14C43BB38 |
|
CONTENT
ssdeep
|
768:6yhNOyT4q+JHUHJHEZXfjbpRhN/DJU4pUXN02tttomcmcmcm3N:fhNOC+n/B23ZZZd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936cb962336e934c |
|
VISUAL
aHash
|
00183c183e7e3c7e |
|
VISUAL
dHash
|
1733f0f0dcccc4d8 |
|
VISUAL
wHash
|
801938187e7e7e3e |
|
VISUAL
colorHash
|
38200018001 |
|
VISUAL
cropResistant
|
d2f0b85c2c3a3ac6,1733f0f0dcccc4d8 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.