Aiohttp — Cyber Threats, Attacks & Incidents

Threat entity extracted from intelligence sources

Frequency
4
occurrences
First Seen
March 10, 2026
Last Seen
June 22, 2026

Aiohttp is a technology platform tracked by ThreatCluster, appearing in 4 threat clusters built from 4 intelligence report mentions.

Aiohttp is a technology platform tracked across 4 threat clusters and 4 intelligence report mentions on ThreatCluster. First observed March 10, 2026; most recent activity June 22, 2026.

Related Threat Clusters

Recent Intelligence Reports

  • OpenAI launches Patch the Planet to fix open-source bugs | Let's Data Science — Letsdatascience · June 22, 2026
  • Salesloft Drift OAuth Token Breach Enables Salesforce Data Theft in UNC6395 'Icarus ... — Rescana · June 21, 2026
  • Malicious Python Package Mimics Parsimonious Parser — Gbhackers · June 5, 2026
  • SUSE Python-aiohttp Key Denial Of Service Solutions SUSE-SU-2026-0859 — Linuxsecurity · March 10, 2026

Frequently asked questions

What is Aiohttp?

Aiohttp is a technology platform tracked by ThreatCluster, appearing in 4 threat clusters built from 4 intelligence report mentions.

Is Aiohttp still active?

The most recent intelligence report mentioning Aiohttp on ThreatCluster is dated June 22, 2026. Activity was first observed March 10, 2026, giving a tracked span from then to June 22, 2026.

What is Aiohttp associated with?

Across ThreatCluster reporting, Aiohttp most frequently co-occurs with Data Breach, Denial of Service, Malware, Supply Chain Attack, DigitalOcean, among 12 tracked related entities.

What are the latest developments involving Aiohttp?

The most significant recent cluster is “Salesloft Drift OAuth Token Breach Exposes Salesforce Data” (3 articles · Updated June 21, 2026). Aiohttp appears across 4 threat clusters in total, listed above with sources.

How much reporting does ThreatCluster have on Aiohttp?

Aiohttp appears in 4 intelligence report mentions across 4 deduplicated threat clusters, aggregated from 17,000+ monitored sources.

CVSS v3.1 Breakdown