Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13345D718F8642D7C7B1781D6FE5316BB86FD6296AECC0354EDC4CF2C859AC267B06806 |
|
CONTENT
ssdeep
|
6144:hxO7EmwnTX7ylNpGPp6Mi+KsNkbtrXNNriKFvAENrNUjnGOm1T:yi77yw6MpwtrhFvAENrNktw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83ac597891e5cec6 |
|
VISUAL
aHash
|
0c0f376e0e20702c |
|
VISUAL
dHash
|
d8e9e5d838c7c4d8 |
|
VISUAL
wHash
|
0c0f7f7f0f00723c |
|
VISUAL
colorHash
|
38010000c00 |
|
VISUAL
cropResistant
|
0e0e0e0e0e0e0e0e,084ead3371cd0a09,d8e9e5d838c7c4d8 |
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 186 techniques to evade detection by security scanners and make reverse engineering more difficult.