Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B9308B2225576BF110383F48321A72EE7C6E9C5C723CD96E3F84622A9D9CE89C24575 |
|
CONTENT
ssdeep
|
1536:vytuya5ae8GaLbmxAPIlaCQD53eXuWfBx5sfmrquno0L65YYEAVX+FgMZpZyCODR:m4LGJnDq4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6ce3c3c9c39c |
|
VISUAL
aHash
|
00001e7e7e660000 |
|
VISUAL
dHash
|
c42f6cdccccc33cc |
|
VISUAL
wHash
|
00023e7e7f7f0000 |
|
VISUAL
colorHash
|
07010000400 |
|
VISUAL
cropResistant
|
c42f6cdccccc33cc,5b595949a180a0a1,b0b329094d2961c6,22d1d13967555766,4535416969610141,8109c44349214c4d |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.