Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD537AA050DCABB341F247D4BE62AE3A63958349CF4EC546DDA983D41EF7CF0E816A14 |
|
CONTENT
ssdeep
|
384:6F8fIIZWa+r4iEuN95NkvChe6fuAq9rkeH8ZpTZAfuA4:6CII3c4iEi95Nkvyb2/rsv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
847f507b406e153f |
|
VISUAL
aHash
|
00ffffffffffff00 |
|
VISUAL
dHash
|
a6696526467023c4 |
|
VISUAL
wHash
|
00ffbf93b39f8100 |
|
VISUAL
colorHash
|
06000018180 |
|
VISUAL
cropResistant
|
61656646663003c4,18e3a338202020c0,0505050505050505 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.