Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126938533E2970803A06FD1D5B1215B1912868748C7574BB9767E26BAFACBCF5272339C |
|
CONTENT
ssdeep
|
1536:2cBXrO8kxGeQTLXBVRNd/FxrgcgsEYAY8YBFwu/JL5QMKaefSue4e8xjdbUd6Ydi:t7vEGeqzjTd//scg5eZ3wsQfdgdvdkcw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b16d3cc392c39669 |
|
VISUAL
aHash
|
c3c3d3ffebffcb87 |
|
VISUAL
dHash
|
032727d8dad89aae |
|
VISUAL
wHash
|
8181c37feaeeca82 |
|
VISUAL
colorHash
|
06200030000 |
|
VISUAL
cropResistant
|
032727d8dad89aae,6d717333313093b3,a2b2c5ce3651c2c2,4e1b9999194d4ccc,c833f0d4d4f0d0d4 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.