Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114043BFC13209ED904C683F5FF2562ECA78BE56ECA924E46D2FC8B1825D5CBC8D15582 |
|
CONTENT
ssdeep
|
1536:DH/u/byNANh+03IaNNFSDkxhR0Ub5I8SzGVuNyF1bXVVyreOUpYJd4/pF05I8SzE:VivrkkE+W8V7VU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9299693796cdc68c |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
551fccdccccc13cc |
|
VISUAL
wHash
|
00027f7f7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
551fccdccccc13cc,4a4a39317470b188,4521416969610145,4141314d4d214101 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)