Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146325133E600DC394DAB66C8F1C496895159D349FB3148CAA1B491FF7BC4CF069AA3AD |
|
CONTENT
ssdeep
|
192:/MxzMYcecpNy5WJjjxAoTMcnthWeNWbQG/LdDfMmUU8VCo8:EcecpNy5WYoCLdDfMmUFCo8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9dc96276a27622dc |
|
VISUAL
aHash
|
01191b1b1b060607 |
|
VISUAL
dHash
|
fbb3b2b2b2f6fcfd |
|
VISUAL
wHash
|
031b1b1f1f0f0f0f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
fbb3b2b2b2f6fcfd,b2b0bab0b2b2a4b2,fbb9b1737bfafef4,ac68d8b060c00006 |
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.