Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186037126E0311E3A409FF7F4E25967C692979763C6D107D0E2DDA3988BDACD0DA0326D |
|
CONTENT
ssdeep
|
768:W97KzAfxUncn5c6HNraxUncn519CDPheexeemAX0:CKzAHNrGCD5eexeel0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
919b4c993bc54e99 |
|
VISUAL
aHash
|
00ff7e6e6e7eff00 |
|
VISUAL
dHash
|
b2f2ccdcd8c4d6d0 |
|
VISUAL
wHash
|
003a7e6e6e7e7e00 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
b2f2ccdcd8d0d6d4,40000c0c0c080280,6961024100000000 |
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 417 techniques to evade detection by security scanners and make reverse engineering more difficult.