Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E234A726332B87843DB91DEF7392A45B2D2598DE8CB4554F1C95ACE23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aO+EsZx8/G8664+Dat+MmBptJMmBzUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtz:aO+EsZ/869+Dat+MmBptJMmBzUXx+y9W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc4e46e9194c4 |
|
VISUAL
aHash
|
ff81818181ffffff |
|
VISUAL
dHash
|
4d5d5d5d49150001 |
|
VISUAL
wHash
|
ff8000000181ffff |
|
VISUAL
colorHash
|
17c00400000 |
|
VISUAL
cropResistant
|
4d5d5d5d49150001,fef9f1e1f1e2e4e1,343030383cbc9899,98da9adadad8c813 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.