Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CE142E0C554DD37435385D9ABF5AF1B77D2C348CB02094493F883BB5BDAC60DA256A8 |
|
CONTENT
ssdeep
|
96:TknkfSzeFvMSiuSTkctDpDJSS8ct7quP5YWwvFGemXOHFLemXPz/96GYfGR:QnkfSzeFdwQcVp7om5YlhQEzl6Guc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e399b8b686c49c6a |
|
VISUAL
aHash
|
ffe8e0e0e7e7e0e0 |
|
VISUAL
dHash
|
5c5b51c84b4bcf4f |
|
VISUAL
wHash
|
ffe8e0e0e3c1e0e0 |
|
VISUAL
colorHash
|
02200030000 |
|
VISUAL
cropResistant
|
5c5b51c84b4bcf4f,b2b2348c516b4444,ea9a86d6d6b49a05,8f2361793171330e,70723831465c99ac |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.