Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD416130980DCE3B44A241D8FAF20A0FB2C6D245DB270B9097F843EDA7C6CD9DC26595 |
|
CONTENT
ssdeep
|
48:U4BwlwSFwshVMDzp8cN8ZyapXuTkDsZ81Osn68/Hz65rmXzu3cC:cq87Z9sZ81O468/O5yXzu3cC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99668d9325caa55b |
|
VISUAL
aHash
|
000000000cfffd1e |
|
VISUAL
dHash
|
8a8a86a8d8b8b9b2 |
|
VISUAL
wHash
|
6000500c5cffff7e |
|
VISUAL
colorHash
|
38002600000 |
|
VISUAL
cropResistant
|
cf6f6a9e962c6870,8a8a86a8d8b8b9b2 |
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 1786 techniques to evade detection by security scanners and make reverse engineering more difficult.