Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9227333B600DD2A4D9B568CF5C08689421ED349F73248C6B2A091FF7BC4DF169A979D |
|
CONTENT
ssdeep
|
192:pU+INWYcXcMchO5ucwxbrMcnthWeNWb/GUGFCwfMmUU8VCo2Z:ocXcMchO5q2GUGFCwfMmUFCo2Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2f708f522f58875 |
|
VISUAL
aHash
|
ffffffe7ffff0000 |
|
VISUAL
dHash
|
0e0c080c0c0006c9 |
|
VISUAL
wHash
|
c3e7c7c3c7ff0000 |
|
VISUAL
colorHash
|
0e000038000 |
|
VISUAL
cropResistant
|
8e0c0c180c0c0004,0000000000000000,210824b2b2320c11,21006b6992db8901 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.