Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114D2947AA110263F0293C3CC7361B72E93E3826DD759081662FD476E1BE7E54DD2392A |
|
CONTENT
ssdeep
|
768:7SXy5NNwNZ0V1Gcza3xcn51Co7snVr7sOy2+y9BH4c1Ie:QNZ0V1GcffCoq57sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36bfc32d82d9382 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49cbc3cc4cc600 |
|
VISUAL
wHash
|
80fd71300404ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
348080106c888000,1c09cbc3e3ccccc6 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.