Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161620431B10C5DAF7A6286AABBD77269C38FA38D44308E34C96D097DC9C5F658533583 |
|
CONTENT
ssdeep
|
96:MuE6/QicMpfjMhsgQ2wM24Zs4xoi28Carw23JMo1A97D9RKXCD0DbF+DoTwshg64:nx7pfwvxPfbjN9kw/Pm+Pmbqi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c65bb89838e6c666 |
|
VISUAL
aHash
|
3c3c3430303c767e |
|
VISUAL
dHash
|
e8e86860e4e8eccc |
|
VISUAL
wHash
|
3c3c3438383c767e |
|
VISUAL
colorHash
|
39200030000 |
|
VISUAL
cropResistant
|
e8e86860e4e8eccc |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.