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Hacking Articles
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π Analytical overview of Telegram channel Hacking Articles
Channel Hacking Articles (@hackinarticles) in the English language segment is an active participant. Currently, the community unites 21 136 subscribers, ranking 6 405 in the Technologies & Applications category and 20 624 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 21 136 subscribers.
According to the latest data from 20 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 1 309 over the last 30 days and by 46 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 9.97%. Within the first 24 hours after publication, content typically collects 4.45% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 108 views. Within the first day, a publication typically gains 940 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- Thematic interests: Content is focused on key topics such as attack, privilege, escalation, exploitation, enumeration.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βHouse of Pentesterβ
Thanks to the high frequency of updates (latest data received on 21 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
21 136
Subscribers
+4624 hours
+3827 days
+1 30930 days
Posts Archive
21 136
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21 136
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π M1-Introduction
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Windows Persistence: Port Monitors
π₯ Telegram: https://t.me/hackinarticles
The article βWindows Persistence using Port Monitorsβ explores a lesser-known but effective technique for maintaining unauthorized access on a compromised Windows system.
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21 136
AWS S3 Security Risks Explained Through Simple Scenarios
β΄ Twitter: Join US
Understand AWS S3 security risks and defenses with these bite-sized analogies:
β’ Publicly Exposed Bucket
Scenario: Bank vault left open β Anyone can walk in and take cash.
Risk: Misconfigured S3 buckets expose sensitive data globally.
Defense: Enable S3 Block Public Access at the account level.
β’ Leaked Credentials
Scenario: Master key copied β Thieves unlock every door.
Risk: Hardcoded AWS keys in code/GitHub grant attackers full access.
Defense: Use IAM roles (not keys) and scan repos with git-secrets.
β’ Malicious Uploads
Scenario: Poisoned food delivered β Kitchen infected.
Risk: Attackers upload webshells/malware via unvalidated file uploads.
Defense: Enforce server-side file validation and scan uploads with GuardDuty Malware Protection.
β’ Unencrypted Data
Scenario: Secret letters sent in clear text β Intercepted easily.
Risk: Data breaches if buckets lack SSE-KMS encryption.
Defense: Enable default bucket encryption and enforce HTTPS via bucket policies.
β’ No Logging
Scenario: Burglary with no cameras β No evidence.
Risk: Attacks go undetected without S3 Server Access Logs and CloudTrail.
Defense: Log all API calls and analyze with GuardDuty.
Key Defensive Actions
Least Privilege: Restrict IAM policies to specific buckets/actions.
Automate Audits: Use AWS Config rules to flag misconfigurations.
Monitor: Set up EventBridge alerts for suspicious activity (e.g., .php uploads).
Lock Down: Use S3 Object Lock (WORM) for immutable backups.
21 136
AWS S3 Security Risks Explained Through Simple Scenarios
β΄ Twitter: Join US
Understand AWS S3 security risks and defenses with these bite-sized analogies:
β’ Publicly Exposed Bucket
Scenario: Bank vault left open β Anyone can walk in and take cash.
Risk: Misconfigured S3 buckets expose sensitive data globally.
Defense: Enable S3 Block Public Access at the account level.
β’ Leaked Credentials
Scenario: Master key copied β Thieves unlock every door.
Risk: Hardcoded AWS keys in code/GitHub grant attackers full access.
Defense: Use IAM roles (not keys) and scan repos with git-secrets.
β’ Malicious Uploads
Scenario: Poisoned food delivered β Kitchen infected.
Risk: Attackers upload webshells/malware via unvalidated file uploads.
Defense: Enforce server-side file validation and scan uploads with GuardDuty Malware Protection.
β’ Unencrypted Data
Scenario: Secret letters sent in clear text β Intercepted easily.
Risk: Data breaches if buckets lack SSE-KMS encryption.
Defense: Enable default bucket encryption and enforce HTTPS via bucket policies.
β’ No Logging
Scenario: Burglary with no cameras β No evidence.
Risk: Attacks go undetected without S3 Server Access Logs and CloudTrail.
Defense: Log all API calls and analyze with GuardDuty.
Key Defensive Actions
Least Privilege: Restrict IAM policies to specific buckets/actions.
Automate Audits: Use AWS Config rules to flag misconfigurations.
Monitor: Set up EventBridge alerts for suspicious activity (e.g., .php uploads).
Lock Down: Use S3 Object Lock (WORM) for immutable backups.
21 136
ISO 27001-2022 Controls
π΄β«Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/ISO%20Control/ISO%2027001-2022%20Controls%20UHD.png
