Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1993357B612576A2F1043C2ED972CEB2AD3C5D60DC7A38E47A6F8C32761C9DB09D39194 |
|
CONTENT
ssdeep
|
768:De1qcWSM8kW50Yll4bQiftSig8s66d1T1qcWSM8kW50Yll4bQiftSig8s66d1VNZ:Of7N0pyeaW4Z0vxTAa8f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f01892b8 |
|
VISUAL
aHash
|
fb939f9fdfffffff |
|
VISUAL
dHash
|
cb2e3131b1f11d4d |
|
VISUAL
wHash
|
00001c1cdcfcffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3131b1f11d4d,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)