Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192827223B204C93D5D8B469CE3D46A59516DD306FB3108CA61A490BF77C8CF42A6A7EC |
|
CONTENT
ssdeep
|
192:416dDkJg+PUAXOfTxdqxTMcnthWeNWbJP58NHCfMmUU8VCojHFRn0:4ODkJg+PUAe9P58NHCfMmUFCojlRn0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f5e60613d1f6059 |
|
VISUAL
aHash
|
00ff9f1f9fffffff |
|
VISUAL
dHash
|
90647074746460a6 |
|
VISUAL
wHash
|
001f1f1f1f1f1f03 |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
6070747470746096,4cb2b2461181a600,93cbc7cfcf49e0f2,3c2c2c0c28188800 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.