Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18602337265409DB70183E3E6E771E76F3696D349CA932782A2F8974D0FC7C9ACC50214 |
|
CONTENT
ssdeep
|
96:b7PzqCvHMuB1SM7wiJyBO4vRl8voOBvlPlIRJoT+yJxyQP3C2:rTPMuZ4vRlrRJoTzxv/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ae0f470d0551727f |
|
VISUAL
aHash
|
00ffdd9b00ffdf00 |
|
VISUAL
dHash
|
62a7391262a13111 |
|
VISUAL
wHash
|
00ffddff00ff8800 |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
626767a1b91131a9,626767a1b9111189,00016272726262cc,2a3072527262628c,002222ca62625252 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)