Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147E131E1D140ED3B475282D4F7B96B5BB691C346CB07094193F883AFABCAC60CB2259D |
|
CONTENT
ssdeep
|
192:QZn52SzYBr98iI3KwjqqZZ1QXSYMC87yq4CWyb:QZn5ho91VwGqZr+MC87j4CWyb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c939393669293 |
|
VISUAL
aHash
|
f1f1f1f1ffffffff |
|
VISUAL
dHash
|
2727272722000000 |
|
VISUAL
wHash
|
9181818100000000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
2727272722000000,e08082c2e2e2f2f0,d0c0c9b2b2b252f0 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.