Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F72DD72A145AD770193E3E6E771EB5F76C2C389CA931682E2E8D78C1BC7DA6CD11204 |
|
CONTENT
ssdeep
|
384:2ay3zJsyV3kDMNMaOsWv5kUhcccgHAYkg6Rb2S:YzdVa5kUpHLkvVH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93b96c9c38c79296 |
|
VISUAL
aHash
|
ffc3ffffffff3c00 |
|
VISUAL
dHash
|
371ec8cc9cc0e02c |
|
VISUAL
wHash
|
ff007e6e7e7f0000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
3617c8ccc898f0e0,000004000c0c4d4d,0000004040008000,0201922d2d920000 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.