Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EE2B7B162116A3F12D3C3F0F7719FAAA399E749C907861993FC836A2FD6C81DD42158 |
|
CONTENT
ssdeep
|
384:AVQCBQ2GVtJv76GrgqWiQZn8asXVPoe1UoAb/fatr3i09JOL0uW:ttQGrgtxUXL21Ls20KIuW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba329515f0d264db |
|
VISUAL
aHash
|
cf8781818900ffff |
|
VISUAL
dHash
|
9c1f1b1b1b317115 |
|
VISUAL
wHash
|
ef8781810100ffff |
|
VISUAL
colorHash
|
06400038000 |
|
VISUAL
cropResistant
|
9c1f1f1b1b1b1b33,717171715d151533,3344486d6d6d0471 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.