Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4B243F55785085F2683A1C269227F5562C3C067E246866723E95A8D1ECDFF0E8CE33E |
|
CONTENT
ssdeep
|
384:5Ee4A2BN0KmrJxMxiOXumqKYh94CTZCGkioq3fiwq0jCKKzIH0:eeeDbjZqjhZBkPq3fiwq0B2IH0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93ad0c17ad0d974d |
|
VISUAL
aHash
|
00ffffffff000018 |
|
VISUAL
dHash
|
e01f1a1c98e8f0f0 |
|
VISUAL
wHash
|
00ffffffff000000 |
|
VISUAL
colorHash
|
070000003c0 |
|
VISUAL
cropResistant
|
70f0eaeaeae86161,0e5a1a1a0e0f1a32,b23273726e525252,f000415149092060,6161820561610e20,f0cce8f0f0f0f0f0 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.