Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C63364B151526A2F114382E29794AA3ED3C5D70AC72B8D87F7E8C337B2CADA0DD25174 |
|
CONTENT
ssdeep
|
768:gc8Ma64sMyRc81NAHQKT5OuAIgq2ttT8Ma64sMyRc81NAHQKT5OuAIgq2ttg70kj:M70pyeaW5P0vxTAa8Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ce7c3f0189ab8 |
|
VISUAL
aHash
|
ff979f9fdfffffff |
|
VISUAL
dHash
|
cb2e3131b1e9194d |
|
VISUAL
wHash
|
01031c1c5c5cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3131b1e9194d,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)