Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B043AFC23609FD900CB83F5BF2972E8A68AE56ECA524D0AD1FC875825C1CBC9D195D1 |
|
CONTENT
ssdeep
|
1536:VNpurZ0NMhhZ03I2NNFqDkxh20Ub5I8SzGVuNyF1brVVOreOopkJd4/pFw5I8SzP:bC0L/koWWi2fV+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9299693796ccc6cc |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
511fccdccccc13cc |
|
VISUAL
wHash
|
80c07f7f7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
511fccdccccc13cc,644c323654549488,4521416969610145,4141314d4d214101 |
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)