Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D123D83144C82B2751F353C4A791974BF3E68244F2B6891AF1DEC71A92C6D88C9BBB5C |
|
CONTENT
ssdeep
|
768:IMdbQTIowBW23J5Z9/N2wtyT8xSx0bVs5cmeqQAShpZufo/7Qy4qtzeS36geY:I8tzB59FJcYxSSbVs5cmeqQjhpZugzRd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946be994a7eaa096 |
|
VISUAL
aHash
|
ff0000003e5e4e06 |
|
VISUAL
dHash
|
71f0ccc4ecacdc8e |
|
VISUAL
wHash
|
ff0000047e7e7e5e |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
0001016363890006,d495d35233173574,94c4f0a08a1e988e,9d614161372733b3,64682a643024270e,b6e0f0f8ddc79373,6d61656555d5a6a6,32d4d0ececbcdc8e |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)