Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FA38833411935274437C6D130A95B3BD2A6DA5FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:lHnZTN6U1aLz4NP/y9svbliCdrxCovnFtiuCa28y2O9:xsmAy18 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d1698403 |
|
VISUAL
aHash
|
00000000040000ff |
|
VISUAL
dHash
|
1c49c3e3ccccd3ca |
|
VISUAL
wHash
|
c0fd71300e007eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
c200c080585880a0,1c49c3e3c9ccc4f2 |
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.