Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4229433AA00DD2A8DAB55CCF2C49589512DC385FB3148C6B1A091FF3BC5DF16AA939D |
|
CONTENT
ssdeep
|
192:Bkzodr8g8xrFxLMHxSRMcnthWeNWb8wxEfMmUU8VCo9gn:Pr804VwxEfMmUFCo9U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb91c56b91916e85 |
|
VISUAL
aHash
|
ffffffff8100ffff |
|
VISUAL
dHash
|
9b18211819054100 |
|
VISUAL
wHash
|
0bcfdfcf000081ff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
9b18211819054100,000820b2b2100800,0000806080a00080 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.