Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE93ED76A27B1822511FB2D4A2B08B192283DB89C7438BF6627D52F67FCD8757D1318C |
|
CONTENT
ssdeep
|
1536:br0nMVecAGYHDmu/pD7euE5DTiDiC6+eeeRkDI7tRiDBK2fDxDT60DVDPW0CEXFM:br0nMV+mOd7euEtTMs+IadK61XhZFaVP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936cc93893d3c6cc |
|
VISUAL
aHash
|
08007e6e46466e6e |
|
VISUAL
dHash
|
daabe4c88888d8d8 |
|
VISUAL
wHash
|
78007e7e46466e6e |
|
VISUAL
colorHash
|
03000030000 |
|
VISUAL
cropResistant
|
daabe4c88888d8d8,d0449a1c49830f0b,97c56931f1e1a0ac,4b433198d8d08c4d |
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.
Pages with identical visual appearance (based on perceptual hash)