Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153C3123292672E22D00EF1F6A5606B29226BD74DCB438FF5267967F1B7CDC75281208D |
|
CONTENT
ssdeep
|
1536:RvmjGv2m30n2m30Jc2p+ZjUgDm30nvom30nzAEm30pSb9d/TJtQD1hm30nGm30p+:CQc2+vMzLgiChuGMT125zRxzZP/Xi7H |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1ede4cbb8129316 |
|
VISUAL
aHash
|
c3c30acfc7cf44c3 |
|
VISUAL
dHash
|
2b279a9a9b9a8c8b |
|
VISUAL
wHash
|
c3c30acbc3cf46c3 |
|
VISUAL
colorHash
|
06200038001 |
|
VISUAL
cropResistant
|
2b279a9a9b9a8c8b,b9b16471370b23ca,d7693248cccc442c,1d3c585b5c5c7d1c,0d3c5c5b5e5c7d1c,93c4693371e1e1e0 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.