Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143C23FB0A7906C53A827E986F285C7CCD01A1549FBC9A7D8F248CE5427DF8FB0D506A7 |
|
CONTENT
ssdeep
|
768:CxWVsw4Sue2Lmjv/dBxBFxbSgp91j/XnPngA0sWCyqY2glZhfrDDfhgOKKcA4w2L:19x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a43e51ca6e2c8cf |
|
VISUAL
aHash
|
7f003c3c1c18ffff |
|
VISUAL
dHash
|
c4f9f9e971b03216 |
|
VISUAL
wHash
|
2c003c3c1c18ffff |
|
VISUAL
colorHash
|
0621a000000 |
|
VISUAL
cropResistant
|
000c8694d6860078,f9e9e971b0b01636,8940cc084c88e884,6666d81edafe388e,7d39f9e9e971b1b0 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)