Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B71CA30A1044E371907C2D4F3E1AB3770D6D348C9058E7642F983AC5FE7E59AE226A3 |
|
CONTENT
ssdeep
|
48:raQ/vClugRQjhlILtscYscKscYsZ44G7JD84Bf3RWlN6KDFNafNgK2Tza2ZhyNhz:G+vPgJuy02Z4bw4XWD1FQFgVza2C+d8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6f989085cc4c67 |
|
VISUAL
aHash
|
ff898193e7ddffff |
|
VISUAL
dHash
|
9c132b228e91a902 |
|
VISUAL
wHash
|
cf000199c1c5ddff |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
9c132b228e91a902 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)