Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD2314A13E436810709F47DF911B160D61C1E7CAD6176AC5ABF0D23C6AF5CA1BFE2298 |
|
CONTENT
ssdeep
|
384:331rJZ7W1qSp8ilwoObXwvwN5SoQq3nI5UjNnMmnjRSIh4vrRFRq3b:bZcAfHS64vO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3027aed4d4d19a5 |
|
VISUAL
aHash
|
0000041dffffffff |
|
VISUAL
dHash
|
63cdf9e8160f4d19 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06003000180 |
|
VISUAL
cropResistant
|
c9e9f8c6160f4d1a,5a5256873140f1d1,6d62ebcdc9e9d9f9 |
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 817 techniques to evade detection by security scanners and make reverse engineering more difficult.