Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18232A73158C9767717B282D09F02FA6EE3C98180C6734F45B6F9868BD98DFB1DC2611A |
|
CONTENT
ssdeep
|
192:7ECTSO0844CbpPY0md1Mfh51YGnKsyC6OjBKsaWKDKeAWnx3syAxRMX9:7ECTSv844CdA1defh51YGKLNPsoKeAJi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999c2635b5269db1 |
|
VISUAL
aHash
|
1c3c181818183c3c |
|
VISUAL
dHash
|
6a69b2303232f0c8 |
|
VISUAL
wHash
|
3e3c3c3c383c3c3c |
|
VISUAL
colorHash
|
30000030002 |
|
VISUAL
cropResistant
|
e6b6a4c664e9f8e0,6a69b2303232f0c8 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.