Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4412172001C7C339A8291D462AA3E097689C755CA03594DE7F4876E5DC2EEDCFBA738 |
|
CONTENT
ssdeep
|
24:nrs1zUCCGE4wPoIsiayo4hlIlhZDivLSAKevpBQ4EW+WDEu5UNIwk2Jf4gvMtmgj:nI1A6wFsia2QlPiveebDImYJNsL/j9/z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99d426f0d92673c9 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
504cb2b2b2b2cf7b |
|
VISUAL
wHash
|
f87cfebf5f180000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
a6268ca2eab232c0,504cb2b2b2b2cf7b |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)