Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECA1506191698D231257D1D8B2B59F4A75A1C341CF87070067FCA3FE2AEACB6EA40288 |
|
CONTENT
ssdeep
|
96:TiKS3d7IQXeLIU4d3L28C5Sn/xuKQNmUrp:+KEIieGb2h0n/xuKQNmUrp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a764e5da8949d89c |
|
VISUAL
aHash
|
e7c3c381bfff8183 |
|
VISUAL
dHash
|
4e4f074f79794b0b |
|
VISUAL
wHash
|
c7c3c3019fff0183 |
|
VISUAL
colorHash
|
07000000183 |
|
VISUAL
cropResistant
|
4e4f074f79794b0b,4d354d6921497161,e3e3674a4949cc61,80a080a82a5a9bb5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)