Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E30243E1C524DD3603228AD5F7F66B0BB661C389DB43094067F483ABABD9CA0CF2559D |
|
CONTENT
ssdeep
|
192:Q7YL0YGTZY+gZgZ++nzYhhjul8iIsdVYBOYMtiKpg/kuX6rYX8c:Q7q0FY+ww++zGjy1jfonMtiKp2kyl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1936ccece989331 |
|
VISUAL
aHash
|
ffc3cfcfffffc3c3 |
|
VISUAL
dHash
|
269e989a36009696 |
|
VISUAL
wHash
|
00c3c3c30f0f0303 |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
269e989a36009696,0000a089b6b6b6a9,4c7a1a3a744c7474,a149490909490917,8080398098218a82 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.