Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDD2A331A0103B3F129783C97751F72EA2E3A209DB46091553FD835E5BD7E90DA17A1B |
|
CONTENT
ssdeep
|
768:oSFy5N7tuRy9mjePcN2+OVp1U7sOy2+y9BH4cLIe:ly9m2cZOD1U7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f83acd2c81c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0808c8c0cc0d0f00 |
|
VISUAL
wHash
|
00ece0203c07ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,8408ccc0c0cccc0f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.