Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0E344534118692E4437C3D475659B77D2BAE98FFAA70A404FDCC7B63AEEC50B80A12C |
|
CONTENT
ssdeep
|
1536:VjquJUgQmTa3MZo+Hd1+I0I1jjC3le+PnMA2NQRYT4oM4:V2uJOQYj3FAl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c52f9eb69a28338 |
|
VISUAL
aHash
|
fd9c1c1801ff8f8b |
|
VISUAL
dHash
|
2334bcf133223933 |
|
VISUAL
wHash
|
fd1c0c1801ff8f8b |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
2334bcf133223933 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.