Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BE2C9346281167F245B8BF6F261B37DE0AAD74ED617945DF2EC829227C7C14CEA3290 |
|
CONTENT
ssdeep
|
384:2knjP1J/ZAAAG3pG1I8PBrL8PLtc8PxxX8PgkmEP0eFKp/L30kB:2kDz/ZAAAG3pG1lr6tpxhkmMmL0kB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e645b963b919b095 |
|
VISUAL
aHash
|
f0e0f0f0e0e0f0ff |
|
VISUAL
dHash
|
2b2124a0a629c127 |
|
VISUAL
wHash
|
f0e0e0f0e0e0f0ff |
|
VISUAL
colorHash
|
0fe00008000 |
|
VISUAL
cropResistant
|
092024e02e294127,d1a618f09ad859dc,f9ada1b971081696,00100c7171690420,872479292bc9c3a6 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.