Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CD29771A000363F82A793CDB351F32D92939289E7861D1592F9875D8FDBEA0D93352B |
|
CONTENT
ssdeep
|
768:s1e/y5Nqo1T+cLP+ZFK6797sOy2+y9BH4c1Ie:Q+ykF97sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c747fc3a910dc583 |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
444cc4c2cccdd300 |
|
VISUAL
wHash
|
80f6f2302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,c40cc4e6c8cccdd3 |
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.