Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19781CEA080422E6F171748D4B466BBD639D2C30ECD0F185157F907DB2FEBC75A81B9A5 |
|
CONTENT
ssdeep
|
96:cZUx6CQbszyqoqOzM/xr+/98/rB2UTmZs:cq6C9RzZlD8emm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3666631594c595d |
|
VISUAL
aHash
|
00e7e7ffffe7e7ff |
|
VISUAL
dHash
|
0e0c0e14200c0c00 |
|
VISUAL
wHash
|
00c3c3c7c7c3c3e7 |
|
VISUAL
colorHash
|
07000010007 |
|
VISUAL
cropResistant
|
0e0c0e14000c0c00,10300e8e0c4c4d4d |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.