Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BA37B33415935274437C6D430A55B3BE2A6DE5FF9A70A010EECD7FA2BFACA0744A11A |
|
CONTENT
ssdeep
|
1536:UvPLz4NP/y9svbliCdR1ZydRthETFtquCa2Bm28E:SmAvdxp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767f83a9d2cc502 |
|
VISUAL
aHash
|
00003000000000ff |
|
VISUAL
dHash
|
044cc4c6cccdd398 |
|
VISUAL
wHash
|
c0fef632240071ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0300a0811a1a8090,c40ccce6c8cccdd3 |
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.