Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190D174339410D91E4EA7C18CFAD1F2D89196D219FB3148C3A2D8A06F6FC1DF569A236D |
|
CONTENT
ssdeep
|
96:a1C9aR1sYr+tnFS+LCfMmORR1E8VConmLQRXuIRl:IdrrVfMmUU8VCo5b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666b2991969e2e8 |
|
VISUAL
aHash
|
00206000ffffffff |
|
VISUAL
dHash
|
cdcdcdcaf2001200 |
|
VISUAL
wHash
|
00004000fbffffff |
|
VISUAL
colorHash
|
07218010000 |
|
VISUAL
cropResistant
|
cdcdcdcaf2001200,cc8e6c4cbabef060,fffff7ede8eafdff,ebf1f153f36d4c88 |
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.