Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A383737176013536316F92CFC22B5B0C61C6F7CACAD55BEDA1F483649AB2C947AC22E4 |
|
CONTENT
ssdeep
|
768:Ev0jwHrAK+62XG4DpH4pCP0NOl1xTAenJbAE3bNK77uCrhgr:EviwHrkTXNR4sxl1xTRnJMErE77uCrh6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99a6b6913464ddcc |
|
VISUAL
aHash
|
3f1f1b0008181818 |
|
VISUAL
dHash
|
fe7bb31313323333 |
|
VISUAL
wHash
|
7f3f1f0b19189898 |
|
VISUAL
colorHash
|
30000200180 |
|
VISUAL
cropResistant
|
fe7bb31313323333 |
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 937 techniques to evade detection by security scanners and make reverse engineering more difficult.