Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADF219F7139005BEA2174BE4E040376AF1A3B56EFA91599BE3E8C2751D85CF7C0315A8 |
|
CONTENT
ssdeep
|
384:4X38mZODBSeWCDgYrsyMBpdsIp2HF72C/FJGWgrDpELChXno252fl+NP:GyBrDxryHsDHFydDiLC5EINP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de9e7b6163848c8c |
|
VISUAL
aHash
|
809cbe9c80808080 |
|
VISUAL
dHash
|
1238202412000000 |
|
VISUAL
wHash
|
d0fefefec0c0c0c0 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
1238202412000000 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.