Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E513DC646842FC3E91CB8AD85272526AA3E68740CA138685BAF0D3F94BDFD5DCF33115 |
|
CONTENT
ssdeep
|
768:heOPAiCJEiGzU4+BB2NdCLNmzbJ/VtsIx/jwUf7ZF:803CRGzU5B2NdCLNmzNttsIx77ZF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6996927138d33c |
|
VISUAL
aHash
|
ffc38181c3ffffff |
|
VISUAL
dHash
|
30270707333822b0 |
|
VISUAL
wHash
|
df81818181cb9fde |
|
VISUAL
colorHash
|
060030000c0 |
|
VISUAL
cropResistant
|
30270707333822b0,dadadeca8a1a26ac,9acb629296e6cada |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.