Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE545B36D1740733858F43CCE3F56016912AD1CCE656B94E7ADE827AFE8EC849CB1A49 |
|
CONTENT
ssdeep
|
1536:7gwtvFlZvK1vmtEgFp3jETTTY++FJPg9mVHJMuM33/fOPt4fP7tiKTqt5NV1NDGk:QvmtEgL3gTTTY+iK/Hy7LgI1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef10162fe0573c4d |
|
VISUAL
aHash
|
000000f1f383b1ff |
|
VISUAL
dHash
|
b269308303434341 |
|
VISUAL
wHash
|
000000f3f3e3bfff |
|
VISUAL
colorHash
|
132000001c0 |
|
VISUAL
cropResistant
|
c30303436b6343b9,80808080a4a7a68c,b269708303036343 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)