Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133431AF93995B5521B7290D3B0AF364BB33A142F790C59B07060DEE970F84A9506BF8E |
|
CONTENT
ssdeep
|
768:iyWuP/syWuL511HScjwqQFoWjt/fvCD/u+vcoirLM27p4qFFrL1X8UEzuspSxHy7:sxyOloQzZs8oWQbp |
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 471 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)