Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C13BB30A800ED2A01CF99E9967A562663F59355C6130688FAF4C3FD5BEFD68DB33064 |
|
CONTENT
ssdeep
|
768:mVyr3uIDaqzrKCJATwY8UPT5dfyqA+ITgIUZoSFu9oUSnsIx/jZLp11sUf7ZF:mVyr3uIDaqzrKCJATFDPT5dfyqAvT5U3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f700f83fc0369672 |
|
VISUAL
aHash
|
000004060800c0ff |
|
VISUAL
dHash
|
dcdfedd4597d1900 |
|
VISUAL
wHash
|
0700062f2f87c7ff |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
d95d7d5f5f1f8170,dcdfedd4597d1b00 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.