Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B235C726732B47843DFA1EEF7382A05B2C2959EE9C74694F5C9598D23C3C806193BB4 |
|
CONTENT
ssdeep
|
768:a2+EsZx8/G8NE/4fDat8MXBvtMMXBpwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:a2+EsZ/8NEAfDat8MXBvtMMXBpwZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e96c1c6bc95c968 |
|
VISUAL
aHash
|
ff3c588f813c3cdb |
|
VISUAL
dHash
|
69ccb2372f69d032 |
|
VISUAL
wHash
|
ff3c188f813c00bf |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
000c0c0069691959,b4a663adc585494b,2b2b55556957556b,b5a663adc5ad494b,2b2b55556957556b,68ccb23f2be8d032 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)