Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127F3EF241642246B406349C0B472D79F3193D399DB27049867ED93F2BFCEEB4681A2FB |
|
CONTENT
ssdeep
|
768:eR1sf11NGJlvJ4DwaCEB1GUTiwn4LzwPCoA/DPiJnDJXJLsAKeY1/LhQZr8ti7xL:w1sKlvuf98cP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
888bb9c372a81fec |
|
VISUAL
aHash
|
181c18183c1c9909 |
|
VISUAL
dHash
|
f3f333a9292bb333 |
|
VISUAL
wHash
|
3d3d1d1c3c3cd909 |
|
VISUAL
colorHash
|
0fc01008000 |
|
VISUAL
cropResistant
|
fefef3e34fc6c6ec,bfbb3b331717cd6d,319b1b6bdbdef4f6,f3f333a9292bb333 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.