Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A541217890C00BAF66C3C672B261FB6A3698C71BC65B8794D2F4836E1BC2D84CD4428C |
|
CONTENT
ssdeep
|
48:tpccGZhzZMdLBAiv5FqxsQqw7jstbYLm7:tpcZZDMdNAiv/qfqw74CLq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc6631d9 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
000030b2b2301000 |
|
VISUAL
wHash
|
00003c3c3f3f1f0f |
|
VISUAL
colorHash
|
38007010000 |
|
VISUAL
cropResistant
|
000030b2b2301000 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)