Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E235B726372B8B843DB92DDF7382E42B2D69489F9C74550F5C95A8D23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a4+EsZx8/G8hURF47DawBMLBKwBMLB6wZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:a4+EsZ/8huO7DawBMLBKwBMLB6wZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aeb5b1c1d0e2d18d |
|
VISUAL
aHash
|
a581818199818181 |
|
VISUAL
dHash
|
4d73716d71716171 |
|
VISUAL
wHash
|
ff99819199999199 |
|
VISUAL
colorHash
|
311c2000000 |
|
VISUAL
cropResistant
|
4d73716d71716171,8209104c4d0c1080,93b3682c30702030 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.