Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3144078275C3E5DA44BCBE0F765BB69236C9291F91BE0A895BC917053C7C88FC27980 |
|
CONTENT
ssdeep
|
1536:bN5sDi4qUG1XdXpPluooophooopPooopyooopjooopJooop8ooopOooophooop+n:bN5sRG1XdXpPl9P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6b92c6a439633c |
|
VISUAL
aHash
|
ffc38181c3ff9fdf |
|
VISUAL
dHash
|
2c2b2b23274b3236 |
|
VISUAL
wHash
|
9f81818181ff8f8f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
2c2b2b23274b3236,4000804545800930,a585656131190705,9898989999999994,30c88848c8909020 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.