Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A892D76652481F3D6163C398FBF5F274929AD28FE32A8928E5BD13361247CC8F433598 |
|
CONTENT
ssdeep
|
192:a5eae6RzB7W8A1e4Sev35vyAvZ6vPbKQy0zKUYdSiAjywAcQSyUZxBcFL/W:2eafoR/5Vx6GDdhW2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8809e3e3c9e1cbcb |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
53f3f3b3f3f30c2c |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
02000200030 |
|
VISUAL
cropResistant
|
040b2b632b0b2bfb,696bc4d5541c96d4,d6d69694d4c6d6d6,a4a280aaaaa2a294,b2926373736b5763,a6966b717169cfdb,5f004d4c0c422c2c,f7f3f3f3b3f3f3f3 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.