Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFA38933411935274437C6D430A95B3BD2EA9D5FF9A70A010EECD7FA2BFACA0745A11A |
|
CONTENT
ssdeep
|
1536:hLz4NP/y9svbliCdwEgHFJLrMOzFtSuCa2Gw2Ao:hmAIwD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361d53aba4ebc48 |
|
VISUAL
aHash
|
00600000000020ff |
|
VISUAL
dHash
|
c8c3c3e9c9cbc390 |
|
VISUAL
wHash
|
68fb703c250078ff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
4080a10030908080,c8c3c3e1cdd9c2c2 |
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.