Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DE175B5805CBD2216A6C7ADFBF0932FA542CBC5C6434A4AC1F4870E2EC6EE5DD41358 |
|
CONTENT
ssdeep
|
192:HKY3eipChtZ/kGo8Unhepbt25b89Jeo1cXm1n4KVs:HFIZ//o8ahe289so1c8n4Os |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9394b436134bc9e |
|
VISUAL
aHash
|
0000ffc3ffffffff |
|
VISUAL
dHash
|
523a369600160000 |
|
VISUAL
wHash
|
0000c3c3f0f0f0f0 |
|
VISUAL
colorHash
|
07000006000 |
|
VISUAL
cropResistant
|
0000202020200000,3b36960002000000,241a5a2412041202,00200430700c1000 |
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.