Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A446933421935260537C6D430B95B3BD2A6DE5FFAA70B010EECD7E72BE9CA0745A11A |
|
CONTENT
ssdeep
|
1536:QShvFPRuHCIIgtsEJPjQBq1Wixx2Iifvt8VPB6RxknNucRM276Ox2UdP38NEfoU0:W3LqDQ61uF2f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
923ecde839cd92b0 |
|
VISUAL
aHash
|
ff040604047e7e7e |
|
VISUAL
dHash
|
33cccccc8cccd4d4 |
|
VISUAL
wHash
|
ff040604067e7e7e |
|
VISUAL
colorHash
|
02000000180 |
|
VISUAL
cropResistant
|
0003212727210304,8e8cacac8ca6b536,2b246458921212b4,3232f36d5dddc9c9,ecccccccccccd4d4 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)