Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1D2B870B1906A3B808B93CCF3E2E76A66DB528CD547060542FD976CCBD7C42E93E45A |
|
CONTENT
ssdeep
|
768:Jc1xy5NF5BUyrl8HC58jLBgAicR0OqF7sBLy2+y9l0K4/LIe:ZF8j67F7sBLy2+UuK4/LIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc1aed48d3c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
91ccc8c2cac8c800 |
|
VISUAL
wHash
|
0064fc70202cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
00c0c4024c8c8000,918cc8cac2cac8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.