Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145325F23B600CD2A4E9B56CCF6C09648455ED346FB6148CAB164C1FF7BC0DF066AA7AD |
|
CONTENT
ssdeep
|
192:DATYc9cychklImo0sxjMcnthWeNWbnfMmUU8VCo6:pc9cychkamNfMmUFCo6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cc663399cc9933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2b20c30 |
|
VISUAL
wHash
|
000018183c3c3c3c |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8ecc62a2eab23082,304cb2b2b2b20c30 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)