Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB224023B600CD2A8DAB55CCF6C09648461EC389F73148CA71A481FF7BD4DF1699A7AD |
|
CONTENT
ssdeep
|
192:BpbD3JwYcuc/c6Zqt78x1htNkmXMcnthWeNWbifMmUU8VCoPh4oVR47:lcuc/c6IRShHkmNfMmUFCoJ+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e767669c8c646499 |
|
VISUAL
aHash
|
e3e3e3e3ffffffff |
|
VISUAL
dHash
|
464e4e4630040001 |
|
VISUAL
wHash
|
e0e0e0e000000303 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
464e4e4630040001,6089c2eaeef2b240 |
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.