Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C826231A0006C7F61D7E7E8A3A5AF06E3C9CA50DB56134282EEDB694EE7DB1CC15352 |
|
CONTENT
ssdeep
|
192:GHgOykM/J9Q5TfQSERFy2PAGFvvmCv3ENY+Ix2nTlx3OXeRK2cTL:GHgO1MzEQSEj7FB0NtIi3OXkW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfa43093b1cdccd2 |
|
VISUAL
aHash
|
ff01313838383800 |
|
VISUAL
dHash
|
3f67e7636161611f |
|
VISUAL
wHash
|
ff333b393c3c3800 |
|
VISUAL
colorHash
|
02001200030 |
|
VISUAL
cropResistant
|
007fbf7f67e7e367,c3f2f230f0d3e0d0,1f67e763e161611f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)