Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1303387B212866A3F005741E2972CFE2BD3D6D70ECBA74E87A6E8C32751CDEE09D25154 |
|
CONTENT
ssdeep
|
768:da/skyaAgI+1wItZkXQavV+uUosOehxJ/skyaAgI+1wItZkXQavV+uUosOehx5Io:mV5I0pyeaW4G0vxTAa8X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3b01896b8 |
|
VISUAL
aHash
|
fb919f9fdfffffff |
|
VISUAL
dHash
|
4b2b3430b4d41d4d |
|
VISUAL
wHash
|
00001e1e5e1effe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2b3430b4d41d4d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)