Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14612B967E200473E0E9B425DFAD193AE933AC28DF23019C271D9C03F6AC59E495757D6 |
|
CONTENT
ssdeep
|
192:ZsW4E8MmA7EWJqEE3jmpKshfyPWNyfMmUU8VCo6w4:74HA7zE3jmpKKUmyfMmUFCo6d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8102fd237d381c7f |
|
VISUAL
aHash
|
073f3f3f3f3f7fff |
|
VISUAL
dHash
|
fdecf0e8e0e0e000 |
|
VISUAL
wHash
|
00171f1f1f003ffe |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
fdecf0e8e0e0e000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.