Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19303B797214816E5C1F38FD898112A457246DB5FCD718370C2BC4E3A2BD36A6B688F7E |
|
CONTENT
ssdeep
|
384:p8gC97GKYKMt0cV/bAgjVobAhx2MEpCKPowRbO0vsFiYK/M74UZh3gl4oycfeyKC:qcnjahscY7UUjJorCl0N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2a5522752d8275d |
|
VISUAL
aHash
|
e7e7ffffe7e4fcfc |
|
VISUAL
dHash
|
0c0c0c100c0d0109 |
|
VISUAL
wHash
|
00e7e7cfc3c0e4e4 |
|
VISUAL
colorHash
|
07000030040 |
|
VISUAL
cropResistant
|
0c0c0c100c0d0109 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.