Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9A360B004047519A61AE791F4619F0E6623935FFF1738249BFA0FE1EECADE99C2D580 |
|
CONTENT
ssdeep
|
1536:Ps7Xn6X8bw9Vf5hYTmBDREM6Hjl+A2Qz9LiNYdjOPuWlMvKs8mL+jzjlfK5FkuH7:Pga4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b660cc7ce38cc49d |
|
VISUAL
aHash
|
7300030100009fff |
|
VISUAL
dHash
|
a29494cb1aa42469 |
|
VISUAL
wHash
|
7f4207010116bfff |
|
VISUAL
colorHash
|
07002040040 |
|
VISUAL
cropResistant
|
a29494cb1aa42469 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.