Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A4309333010263F4287625BE84BF25DD3B28507D795A5A0E6BCC97C1AF0D58A5B6BCE |
|
CONTENT
ssdeep
|
1536:0+Og5d5zOFOO8jEtM3wsIPmmggzSYnTYkQPRhkQq6rjlfzS38qGCxAyWP+JTPP4X:0+OgpdwiC2eDu1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c64147713c4f0f |
|
VISUAL
aHash
|
83ff8f8f8f8f8f8f |
|
VISUAL
dHash
|
26cc3e3a3a3a3a1a |
|
VISUAL
wHash
|
00070f8f8f8f8f8f |
|
VISUAL
colorHash
|
06200010000 |
|
VISUAL
cropResistant
|
2f9c3e3a3a3a3a1a,d3dbcbb6b049b3b4,0000000606060600,5fbd36e26636270b |
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 856 techniques to evade detection by security scanners and make reverse engineering more difficult.