Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104A37933411935274437C6D530A55B3BE2A69A5FFAE70A010EECD7EB2BFACA0744711A |
|
CONTENT
ssdeep
|
1536:khWe+Iv1+Lz4NP/y9svbliCdt6CoWcFtiuCa28y2O9:ZmAGzP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d02dc502 |
|
VISUAL
aHash
|
00000000040000ff |
|
VISUAL
dHash
|
1c49c3c3cccce4a8 |
|
VISUAL
wHash
|
c0fd71300c007fff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
040180815c588090,0449c7c3e9ccc4e4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.