Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170C158316C05AA3364D792D5B7705B6B37D08289DAA3162203FCA39C0FE7E85CD4B521 |
|
CONTENT
ssdeep
|
96:TaOxlBgzclYvORvayl/AAB4+vP91TT0GTTTOA7XzBzyoOVUG:NjtYkXZUVUG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
807a7f7f71007f80 |
|
VISUAL
aHash
|
00017f7f7fff7fff |
|
VISUAL
dHash
|
13e3c0d8f860e0ea |
|
VISUAL
wHash
|
00003f3f3f1f3f16 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
63e0f8d8f0e0f0ea,8141485151004343 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.