Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15ED120E0C414EE37436386C59BF56B0B73D1C349CB431D44A3F883AB9BCACA0DA655A9 |
|
CONTENT
ssdeep
|
96:TkJCSzeFvMSfuSTCctutmqSS8lFD5FOuXvHF4OXlz/AYwYfGJ:QJCSzeFdjWcktmRF/lz47uA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c99c3ec0c3b696b2 |
|
VISUAL
aHash
|
ff18187c7c7c0000 |
|
VISUAL
dHash
|
32b232e1c1e026c9 |
|
VISUAL
wHash
|
ff181c7cfcff0000 |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
0000000000000000,adaa6a6a52528d8d,5a9aa2b2c2b2b29a,b232b2c1c1e026c9 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.