Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1440386327154AA3A4087C3E5DB3A637F227BD2C5EA4F031592E8836CCAD6DD5DC23658 |
|
CONTENT
ssdeep
|
384:8oq7/xIIF5ZSII9nD0bqoDw7Z2j/wgsPvfm5ZRLGKrh3vXFoLlFHLuBxC4efPE:8J7/xIIzAII9DmemLCrLlNqBxCFk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83a4bcd3c7c691b8 |
|
VISUAL
aHash
|
ff00043c2c2c0000 |
|
VISUAL
dHash
|
8c0159c948482800 |
|
VISUAL
wHash
|
ff032f7c3c3c8c80 |
|
VISUAL
colorHash
|
38000030040 |
|
VISUAL
cropResistant
|
0008304c4d4d3004,8c0349c948483800 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.