Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1857388BB05016E7F104392D5EB58E71FD3C6D20ACB928A83E6E8C32A75DBD60DD36164 |
|
CONTENT
ssdeep
|
768:/QckfBpHrzZijjmZrLTZkip5bvHpRCUZckfBpHrzZijjmZrLTZkip5bvHpRCURra:RHm0eKV0ca2V7T0Lg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eccc9693c1f192c6 |
|
VISUAL
aHash
|
fe9191d1f1cfe181 |
|
VISUAL
dHash
|
c823373323290727 |
|
VISUAL
wHash
|
fe919191b1cfe181 |
|
VISUAL
colorHash
|
0700b000080 |
|
VISUAL
cropResistant
|
c823373323290727,ccce9e9aa6868ea8,1e5b2ce4674f1387 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.