Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191E2E031D0022A6F6263CDD2F234FF49A4A7E70EC275940056A9875D7FC6EF8A76019A |
|
CONTENT
ssdeep
|
384:sfJkat06HsT8knOHdawoIuqLsYJC7PbmYYTctXVLdDlC:smeQnOHb8hRC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e633996466cc99cc |
|
VISUAL
aHash
|
e7e7ffe7e7fff7f7 |
|
VISUAL
dHash
|
cc4d004d450c050c |
|
VISUAL
wHash
|
42c3c3e707272703 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
cc4d004d450c050c,e4a4eca9a3e3fbb3,2345843173364d7a |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.