Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122134A72A732B86843DB92EEEB382D55B2D6549DF8C74410F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aFOM2+EsZx8/G8QUDVSKMUB/SMMUBhUuix+y9dQpUDF1E56ITmHx3naOhqePqDvI:aO+EsZ/8LDVSKMUB/SMMUBhUxx+y9dQG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac2c8c3c73370 |
|
VISUAL
aHash
|
fd8f879fbf8fdfff |
|
VISUAL
dHash
|
493d3d7171393637 |
|
VISUAL
wHash
|
ad8f878f81819397 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
493d3d7171393637 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)