Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB423233E500DD2A4D9B91CCF6C09989515ED34AFB3148CAB1A091BF7BC5DF029A939D |
|
CONTENT
ssdeep
|
192:+J3JDt6YcKcCDahHdFWWVxcHRTMcnthWeNWbhUs0fMmUU8VCoY:mcKcCD+HTeHaUs0fMmUFCoY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999336666669999 |
|
VISUAL
aHash
|
00083c0018000000 |
|
VISUAL
dHash
|
0c12b20c20000000 |
|
VISUAL
wHash
|
ffc3ffc30000ff00 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
0c12b20c20000000,8041555d69696955 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.