Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C1384393545567F25DB87B6A2216B2EA3C5C78ECA63DA4EF3F4820B17C7C91CE81214 |
|
CONTENT
ssdeep
|
768:g8Gfiy44geBAxQLYL6LaViBWOiZXlRXbBAGX2tU7rtRoPLLXbSPcu+QjLCZLF5L6:g8Gfh44R61OAHLBBn3u/M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
90b16f6f9495c3d0 |
|
VISUAL
aHash
|
00006e4ede000000 |
|
VISUAL
dHash
|
aa9a9c9c9c4b31b0 |
|
VISUAL
wHash
|
420a6e6effff0018 |
|
VISUAL
colorHash
|
30400008080 |
|
VISUAL
cropResistant
|
74fcf0e2cc494963,aa9a9c9c9c4b31b0 |
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 983 techniques to evade detection by security scanners and make reverse engineering more difficult.