Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153F16C24044EB533126192D8BF7B6BEAAB914949CA324B8923FC534FB7C6D0BDC23546 |
|
CONTENT
ssdeep
|
192:Yvt5ZF7oHTqtQjGaAt5ZF7oHTqtQjGa9+2F8:YDZF7ozjjzEZF7ozjjz9bF8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ae8936b6126a87b3 |
|
VISUAL
aHash
|
0f1b3f181ff7c184 |
|
VISUAL
dHash
|
fdf3f3b3a42e0555 |
|
VISUAL
wHash
|
0f1b3b1837f7c184 |
|
VISUAL
colorHash
|
02401008080 |
|
VISUAL
cropResistant
|
fdf3f3b3a42e0555,e7ceac9c8f29294d,4c1c387070e0c090,7b6f6c6ceeeedc98,73737d7177f7ffbf,80c7a3d49c9898ba,e566668cde4f296d,4743030343030341 |
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 2692 techniques to evade detection by security scanners and make reverse engineering more difficult.