Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDC2D931B058763B03A3C2D9BB61672EA2B3824DD7860515D6B9835D47E3F98CE3352A |
|
CONTENT
ssdeep
|
768:Tny5NpSpY/9gCQkDRsUlBD3L7sOy2+y9BH4cLIe:JpygUD3L7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec5c1c169362e |
|
VISUAL
aHash
|
fb8f818fdfdfd9fe |
|
VISUAL
dHash
|
43393f3315333390 |
|
VISUAL
wHash
|
a38f818f8d8981fe |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
43393f3315333390,943c3a1d5c6c6e15 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)