Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2434BF97980F2125AB3019711EF2806737E591B241D4970F258EECFB5B44A9A06BFCE |
|
CONTENT
ssdeep
|
768:vRDT0TQH7YuVIZHYLCZYHlZovBSTqLVzc+b42NB2jIGrTnzq8QE12OlDlGYQZ/y:Z/6pfY7TOzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b96d74964692473c |
|
VISUAL
aHash
|
00c3c3ffffffff00 |
|
VISUAL
dHash
|
9612131a371e188a |
|
VISUAL
wHash
|
008381ffc7ffcf00 |
|
VISUAL
colorHash
|
06201000082 |
|
VISUAL
cropResistant
|
1317131c371c188e,9496321313171313,822acacaca3a8a01 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)