Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185F29597210865E5C2F38FD898106A446246EA5FC9718370C2FC4E3A2BD35A5B78DF7E |
|
CONTENT
ssdeep
|
384:TAW1fBp6rxrCr16lWCwCdl0iptFWanWRlLhbO0vsFiYK/M74UZh3gl4oy8Qq2Xyo:8rxrCr2WZrzhscY7UUjJoYqivCU3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5a8ea552ad58 |
|
VISUAL
aHash
|
f7ffffe7fffcfcfc |
|
VISUAL
dHash
|
0c0e160c0c080800 |
|
VISUAL
wHash
|
00c3c3c3e7e4e4fc |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
0c0e160c0c080800,49c9d694d8a491c8 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.