Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F923813285C5213A01B282CEE7757B6AD3C45104EA279580E7FB4B2FBAC5DA1F61274F |
|
CONTENT
ssdeep
|
768:ez3n8PZHcdW3YRDNKbe1QGR5tMnOiufblW+4EFs9iu4zgVKulqB:ez3n8PZHcdW3YRDNKbeSK5tZll2gC4EY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e49a64679a64939e |
|
VISUAL
aHash
|
e7ffdfffffc3c3c3 |
|
VISUAL
dHash
|
0f3230163a969696 |
|
VISUAL
wHash
|
838fcfc381c3c3c3 |
|
VISUAL
colorHash
|
07600030000 |
|
VISUAL
cropResistant
|
0f3230163a969696,2464c48486c78c6e,b632d4e8e369c8f2,4210b5edc4c4cccc |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.