Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150A37933411975274437C6D130A95B3BE2A6D94FFEA70A010EECD7FA2BFAC90745A11A |
|
CONTENT
ssdeep
|
1536:ztyLz4NP/y9svbliCdgvRFtWSuCa22G2Au:ztcmAtv8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7439538b838f566 |
|
VISUAL
aHash
|
00200000000071ff |
|
VISUAL
dHash
|
4ce8c0c8c8c0c5cc |
|
VISUAL
wHash
|
007470707c20ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
000000014c4e8288,4ce8c0c0c8c0c4c4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.