Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF32C9F9A29004E51503C7A5F9A2EF26388FB17FDF978D5892ACE2D077E9C80CC46950 |
|
CONTENT
ssdeep
|
192:yZNWXpVknen8AFoE0pGRtrk2i+aZz5g/p+143kXJtZO:y2XZrspGRFPacsNXZO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee53e11ca9c33e14 |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
2424644425240427 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
1b0020001c0 |
|
VISUAL
cropResistant
|
00003c2016960016,0000008032000116 |
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.