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Security Harvester

Security Harvester

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On X too! X.com/secharvesterx Harvesting news about cyber security

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📈 Telegram 频道 Security Harvester 的分析概览

频道 Security Harvester (@secharvester) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 10 223 名订阅者,在 技术与应用 类别中位列第 11 862,并在 哈萨克斯坦 地区排名第 902 位。

📊 受众指标与增长动态

自 невідомо 创建以来,项目保持高速增长,吸引了 10 223 名订阅者。

根据 19 十月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 313,过去 24 小时变化为 29,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 2.37%。内容发布后 24 小时内通常能获得 1.56% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 242 次浏览,首日通常累积 159 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 1。
  • 主题关注点: 内容集中在 attack, linux, microsoft, threat, credential 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
“On X too! X.com/secharvesterx Harvesting news about cyber security”

凭借高频更新(最新数据采集于 20 十月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

10 223
订阅者
+2924 小时
+837 天
+31330 天
帖子存档
CVE-2026-106173 Deep-Dive: Fortinet FortiSIEM gRPC Path Traversal File Write to RCE https://horizon3.ai/attack-research/cve-2026-106173-deep-dive-fortisiem-grpc-path-traversal-file-write-rce/ @secharvester

How I got over 300 Tor exit nodes removed https://kaba.cx/posts/20261020_Tor/ @secharvester

Free real-time Certificate Transparency stream, no API key https://certstream.dev/free-certstream-api.html @secharvester

Everything Everywhere All at Once: Self-replicating AI, bioweapons research and AI-ported games share one problem — friction is eroding. https://macanorak.com/everything-everywhere-all-at-once/ @secharvester

Reverse-engineering Sony NW-A910 firmware: language patches, resource formats, and homebrew https://youtube.com/watch?v=A5f6_2eZAiA&si=vsk-oAHelpnMVAtj @secharvester

Unauthenticated SQL injection in GLPI (≤ 11.0.8) https://mobeta.fr/blog/glpi-unauth-sqli/ @secharvester

The US Army wants AI agents that hack its enemies with almost no human oversight https://madrobot.blog/2026/10/20/us-army-echotribble-ai-agents-hack-adversaries-arcyber/ @secharvester

Playing Chromatron Again, Twenty Years Later https://shengtuo.me/blog/chromatron-remake/ @secharvester

REN: scoring how much an LLM can recover from a binary. Obfuscating a function drops that score to 0, while symbols/strings/metadata don't move. https://github.com/prat1kbhujbal/ren @secharvester

New website to locate specific captive portals from a 500+ library. https://rianhanft.github.io/Rians_Evil_Portals_For_Marauder/ @secharvester

Update from Krebs: Feds Suspect Ransom Negotiator Ran ShinyHunters Extortion Site https://krebsonsecurity.com/2026/10/feds-suspect-ransom-negotiator-ran-shinyhunters-extortion-site/ @secharvester

tvm-recover: Tencent VM devirtualization through semantic lifting and algebraic simplification https://github.com/NeuroSaki987/tvm-recover @secharvester

An attack that corrupts a LLM model about one specific fact - no file changes, no process, no network. Nothing to scan, and you can still detect. https://stealthium.io/blog/hands-off-detecting-model-weight-tampering @secharvester