Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C81647BE02C94AF130386E4FAD2728CD583A69F8FD5B482F5A04B6D63D8CA057151A6 |
|
CONTENT
ssdeep
|
96:mCfoVPRfnw/eQAGoWU8+weQL2KLStLSL6LkON1r:7foVPRPwGQAYLfLStLSL6LkON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e161969ece69619a |
|
VISUAL
aHash
|
c3c3c3c3ffffffff |
|
VISUAL
dHash
|
869e969600120000 |
|
VISUAL
wHash
|
0000000003030302 |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
869e969600120000,4747c7c7676565e5,9e2e27371595d213,47b2b7db0b6bb31b |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.