Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E431E17B184863A0D8340FDDD8CB6A7668DE288F331D5C268F5823FA615EAD753278D |
|
CONTENT
ssdeep
|
768:GW19g6dhCIE5ZM8Fqu9B6FaCKE5ZD8Fq+0fBUsl:GW7bdhIx82gFaug8XBNl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6c939334e44ec4 |
|
VISUAL
aHash
|
ffd3d3c3c3c9ffff |
|
VISUAL
dHash
|
2b232737371b1b55 |
|
VISUAL
wHash
|
ffc1818183c9ff11 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
2b232737371b1b55,6f6c4e4e5ed7071b |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)