Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2224133A500DD2A8D9B95CCF2C09A88515DD345FB3148CAB2A491FF7BC4DF069A93AD |
|
CONTENT
ssdeep
|
192:a/GudgiSxtMcnthWeNWbliCqLbnQfMmUU8VCoY+:EPiCqLbnQfMmUFCoY+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c949b45a5ab64b5a |
|
VISUAL
aHash
|
f8f8b8f8f8f8ffff |
|
VISUAL
dHash
|
d192627211110000 |
|
VISUAL
wHash
|
7010101000000302 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
d192627211110000,a2a2e23a1aaa86ba,def879bee9fdbeff |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.