Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DD28873504A99361153A1C9A3383BDDA3AD5944EBB3B9C063E8029FBBF1F60D413D96 |
|
CONTENT
ssdeep
|
768:9/H4CHxc6X/s8tOFiat09cg3u+FURsd/IhIk6ucnHMMmzKfVc:jcymzKfVc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87465629f92f16f0 |
|
VISUAL
aHash
|
003436bfff03039d |
|
VISUAL
dHash
|
7464646b9bd32b39 |
|
VISUAL
wHash
|
003436bfff0303bd |
|
VISUAL
colorHash
|
18400030000 |
|
VISUAL
cropResistant
|
0f06041c3cbcdcc4,c884228dc492a833,6765f0fcdcd85cad,0024707268701402,7464646b9bd32b39 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.