Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3431BE93854B5121BA290D3B1AF364BF33A146F740C59B07160DEA975F84E9503BF8E |
|
CONTENT
ssdeep
|
768:2yWuPWLyuB/5sL/H/XT5K9QzRFCtR58n+DcNwG11SLxsX8Ug1uJ+apSxHyOzxHRS:fJUyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8424a7119e9b73fa |
|
VISUAL
aHash
|
7b73713010007fff |
|
VISUAL
dHash
|
e6e3e3e6e2909844 |
|
VISUAL
wHash
|
7373713010007fff |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
e6e3e3e6e2909844,f3f3f3fbdbdbc9c9,616163233222b294,e173393930303011 |
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 694 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)