Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6327333A600CD2A8D9B55CCF2C49688515ED349FB3148CAB26491FF7BC4CF069AA39D |
|
CONTENT
ssdeep
|
192:EBTzW4YcQcwch+bI04HNnmixRWXMcnthWeNWbnfMmUU8VCoEp:ST2cQcwch+bI04H5FWIfMmUFCoEp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0e0eb1b164d1f07 |
|
VISUAL
aHash
|
c1c3c3c6040c1800 |
|
VISUAL
dHash
|
9f9b9e968c78f0c9 |
|
VISUAL
wHash
|
c3c3c3c6060cfc7d |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
3f3b3e362cd83860,606070b080715d68,9f9b9e968c78f0c9 |
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.