Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E52F7F009A8137D828F87A8A516779CD2AEF56EF2B74015D7AD1BE41AC3C81EE17540 |
|
CONTENT
ssdeep
|
192:MCnE/dS1Qd43Gem3yDha3UDi8O33/mOsQVO3J0pu3wIqDr5RmA2QPWvaHQctiW9Y:MCWS1KKD1DJ0VzpuqDru8Ovwx3Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4981863cd93c767 |
|
VISUAL
aHash
|
8f8fe3ffe3e3e3e3 |
|
VISUAL
dHash
|
3a362eacc7cfcfc6 |
|
VISUAL
wHash
|
0f0303e3e1e7e1e3 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
3a362eacc7cfcfc6,000830b2b2320c10 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.