Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E03CC30A880DD2601DB59C99672576A62F58345C6230289FAF9C7EA5FEFC6CDE33205 |
|
CONTENT
ssdeep
|
384:yHgRsJO5xVZjqTSXB5qcu2R8f+zuR7xFxmroUa879ft:1RsIx/jvBocm+gnxVUf79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec9112f4cde88f91 |
|
VISUAL
aHash
|
7f00fbfbf2f3e000 |
|
VISUAL
dHash
|
a3dc532226260761 |
|
VISUAL
wHash
|
4000fbfbf2f3e000 |
|
VISUAL
colorHash
|
164000000c0 |
|
VISUAL
cropResistant
|
c0c0c0c0c0800000,06049888889991e1,ccece3e3f399f31c,c8c8c8c8c8c8c8ca,cdd2132226270761,1f0f15050333c346 |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.