Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A043CFC13206EED10CA83F5FF2966E8A68AE16ECB564E45D1FC8B1921C1CBCDD19581 |
|
CONTENT
ssdeep
|
1536:Wmm9uw61NRuhK03IlNNFvDkxht0Ub5I8SzGVuNyF1bWVVrreOxphJd4/pFV5I8SB:vyvDkkPTWyVxVY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9299693796cdc68c |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
5317ccdccccc13cc |
|
VISUAL
wHash
|
0000ffff7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
5317ccdccccc13cc,525231387931b088,4521416969610145,4141314d4d214101 |
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)