Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12603C9328082693762C383C8E67AE75DF3C68349DD1A5A5182E4D36F09E7FC1EC5652E |
|
CONTENT
ssdeep
|
768:9wbcRbm4441zBPoROQ8V1wkgMpxAw7S9W/N1zJV:ecM4441zBAOwkgMpxAw7is3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e67918a649f4798c |
|
VISUAL
aHash
|
0381c1f0f3e7e700 |
|
VISUAL
dHash
|
1f1f13c5470f2c27 |
|
VISUAL
wHash
|
8381e1f0f3e7f700 |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
1f1f1b8647270c26,5b5e0d090b080809,9b49291d8dc57599,c4cdcbd6ccc83434,254d2c2c2427270d |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.