Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D235A726722B8B843DB91EEEB382D46B2D5589DF8C74450B5C95ACD23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:af+EsZx8/G8y4uDawuMZBVwMMZBEwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAT:af+EsZ/8FuDawuMZBVwMMZBEw0N2/y9C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303f8f82525fcf4 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
fffdedefef004000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
030010001c0 |
|
VISUAL
cropResistant
|
00000c0c0095ffff,cdefff0008000000,fff9fdededcfefff |
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)