VANTAGE

Agent telemetry & log injection engine — own the feed. Observe, forge, inject, blind. Attack the observer layer.
49
Tool Number
4
Subsystems
344
Tests Passing
Ed25519
UNLEASHED Gate
pip install red-specter-vantage
AI agent telemetry is the attacker's map / Logs can be forged before they reach your SIEM / Injected events override real detections / Blinding the observer means the attack is invisible / Log aggregators trust their sources implicitly / Telemetry manipulation is the quietest persistence / Observability stack never assumed adversarial / Your SOC is reading what the attacker wrote AI agent telemetry is the attacker's map / Logs can be forged before they reach your SIEM / Injected events override real detections / Blinding the observer means the attack is invisible / Log aggregators trust their sources implicitly / Telemetry manipulation is the quietest persistence / Observability stack never assumed adversarial / Your SOC is reading what the attacker wrote

The Observer Is the Weakest Link

AI agents emit telemetry, produce logs, and feed observability pipelines that security teams depend on. That entire observability stack is an attack surface. An attacker who controls the telemetry feed controls what the defender sees — and more importantly, what they don't see. VANTAGE systematically attacks every layer of AI agent observability: passive observation of data in transit, event forgery, active log injection, and complete telemetry blindness induction.

Telemetry Trusted Implicitly

Log aggregators, SIEM connectors, and observability platforms consume AI agent telemetry without cryptographic verification. A forged log event is indistinguishable from a legitimate one. Every detection rule built on those logs can be subverted by crafting the right input.

Injection Before Aggregation

Telemetry pipelines have injection points between the agent and the aggregator — transport buffers, log forwarders, message queues. An attacker positioned at any of these points can inject arbitrary events, suppress real events, and rewrite the history of what the agent did.

Blind Spot Engineering

The most sophisticated attacks don't forge logs — they silence them. Selective telemetry suppression allows an attacker to operate inside an AI agent for extended periods while leaving observability intact everywhere the defender is watching. Only the critical events disappear.

Observability Stack Complexity

Modern AI agent deployments route telemetry through Prometheus, OpenTelemetry, Jaeger, Grafana, and custom event buses — each with its own authentication model, injection surface, and trust boundary. VANTAGE maps and attacks the complete chain.

Forensic Evidence Manipulation

Post-incident forensics depends on the integrity of logs produced during the incident. If an attacker can pre-position log injection capability, every forensic reconstruction becomes unreliable. The investigation reads what the attacker wanted them to read.

Detection Rules Built on Compromised Data

ML-based anomaly detection and SIEM correlation rules trained on historical telemetry inherit every bias an attacker introduced. Poisoning the telemetry feed poisons the detection model. VANTAGE quantifies the scope of that contamination.

Observe. Forge. Inject. Blind.

Four subsystems — each a distinct phase of the telemetry attack kill chain. VANTAGE is lean and precise: no excess surface, just the four operations that comprehensively own the observability layer of an AI agent deployment.

Subsystem 01
OBSERVE
Passive telemetry interception and analysis. Enumerates all telemetry endpoints, transport protocols, authentication mechanisms, and data formats used by the target AI agent. Builds a complete map of what is observable, who can see it, and where injection points exist.
Subsystem 02
FORGE
Telemetry event forgery. Constructs convincing synthetic events in native telemetry formats — OpenTelemetry spans, Prometheus metrics, structured log payloads. Tests whether aggregators accept forged events and whether detection rules fire on crafted inputs as expected.
Subsystem 03
INJECT
Active telemetry pipeline injection. Positions crafted events at identified injection points — log forwarder buffers, message queue topics, OpenTelemetry collector inputs. Tests injection acceptance, event ordering manipulation, and SIEM correlation rule subversion.
Subsystem 04
BLIND
Selective telemetry suppression. Maps mechanisms by which specific event types, agent IDs, or severity levels can be silenced from the observability pipeline. Tests log suppression, metric scrape interference, trace dropping, and complete observability blackout induction.

The VANTAGE Engine

# Subsystem Command What It Does Clearance
01 OBSERVE vantage observe Passive enumeration of all telemetry infrastructure. Discovers OpenTelemetry collectors, Prometheus endpoints, log forwarders, trace aggregators, and event bus topics. Maps auth mechanisms, network paths, and data retention policies. Non-destructive reconnaissance. Standard
02 FORGE vantage forge Constructs synthetic telemetry events in all detected native formats. Tests whether OTLP spans, Prometheus push gateway metrics, structured JSON logs, and custom event formats are accepted without signature verification. Measures detection rule bypass rate against forged inputs. Standard
03 INJECT vantage inject Active pipeline injection across all identified insertion points. Tests log forwarder buffer injection, Kafka/NATS topic poisoning, OpenTelemetry collector input spoofing, and SIEM input channel manipulation. Measures false positive/negative generation rate for detection rules. Elevated
04 BLIND vantage blind Systematic telemetry suppression testing. Maps drop conditions across each pipeline stage. Tests agent-side filter injection, transport-layer event suppression, and aggregator-side filtering bypass. Identifies minimum suppression footprint for complete operational invisibility. Elevated

Full Telemetry Attack Assessment

$ vantage full-scan --target https://agent.target.local --otel-endpoint http://collector:4317 --depth full
[OBSERVE] Mapping telemetry infrastructure...
  4 telemetry endpoints discovered — OTLP gRPC :4317, Prometheus :9090, Fluentd :24224, Loki :3100
  0/4 endpoints require authentication — all accept unauthenticated input
  Event types: traces (OTLP), metrics (Prometheus remote_write), structured logs (JSON/Loki)
[FORGE] Constructing synthetic events...
  OTLP spans accepted without signature verification — 100% acceptance rate
  Forged critical alert events passed to SIEM — 4 detection rules triggered on synthetic input
  Forged clean events suppress real anomaly score — baseline poisoning confirmed
[INJECT] Testing pipeline injection points...
  Fluentd buffer injection accepted — events appear before legitimate buffered events
  Kafka topic write access unauthenticated — topic: agent-telemetry-raw
[BLIND] Mapping suppression mechanisms...
  Agent-side filter injection possible — dynamic log level change via unauthenticated API
  Complete trace suppression achievable — OTLP sampling filter override confirmed

SCAN COMPLETE | Observability Risk Grade: F | 9 findings | Report signed ✓

OpenTelemetry Native

VANTAGE speaks native OTLP — gRPC and HTTP/protobuf. Forged spans, traces, metrics, and logs are constructed in the exact wire format aggregators expect. No encoding tells. No fingerprint.

Ed25519 Signed Reports

Every VANTAGE report is cryptographically signed. SHA-256 evidence chains. RFC 3161 timestamped. Telemetry injection findings are themselves tamper-evident — the irony is deliberate.

SIEM Rule Subversion Testing

VANTAGE tests every injected event against known SIEM correlation logic. It measures what percentage of your detection rules can be triggered on demand with forged inputs — and what percentage can be silenced.

AI Shield Integration

Findings generate AI Shield telemetry integrity rules — OTLP authentication enforcement, log forwarder ACLs, event signing requirements, and pipeline injection detection patterns.

49
Tool No.
4
Subsystems
344
Tests Passing
5
OTLP Formats
0
Failures

Every Finding Mapped

MITRE ATT&CK

MITRE ATT&CK — Defence Evasion

  • T1562.006 Indicator Blocking
  • T1070.001 Clear Windows Event Logs
  • T1070.002 Clear Linux Logs
  • T1070.004 File Deletion
  • T1565.001 Stored Data Manipulation
  • T1565.002 Transmitted Data Manipulation
MITRE ATLAS

MITRE ATLAS — AI Observability

  • AML.T0051 LLM Prompt Injection
  • AML.T0040 ML Supply Chain Compromise
  • AML.T0043 Craft Adversarial Data
  • AML.T0048 Backdoor ML Model
  • AML.T0056 LLM Meta Prompt Extraction
  • Telemetry poisoning for AI training
OpenTelemetry

Observability Stack Coverage

  • OTLP/gRPC span injection
  • OTLP/HTTP protobuf forgery
  • Prometheus remote_write poisoning
  • Fluentd/Fluentbit buffer injection
  • Loki log stream manipulation
  • Jaeger trace suppression

Security Distros & Package Managers

Kali Linux
.deb package
Parrot OS
.deb package
BlackArch
PKGBUILD
REMnux
.deb package
Tsurugi
.deb package
PyPI
pip install
macOS
pip install
Windows
pip install
Docker
docker pull
Ed25519 Cryptographic Gate
VANTAGE UNLEASHED

All 4 VANTAGE subsystems are gated behind the NIGHTFALL UNLEASHED Ed25519 cryptographic override. INJECT and BLIND require elevated clearance — active pipeline injection and telemetry suppression operations are destructive by nature and must be explicitly authorised. Private key controlled. One operator. Founder's machine only.

Standard
OBSERVE — passive enumeration of telemetry infrastructure. FORGE — event construction and acceptance testing.
Elevated
INJECT — active pipeline injection. BLIND — telemetry suppression. Both require elevated UNLEASHED clearance.

Authorised Use Only

Red Specter VANTAGE is intended for authorised security research and AI agent observability assessment only. Active telemetry pipeline injection, log event forgery, and telemetry suppression operations against systems you do not own or have explicit written permission to test may violate the Computer Misuse Act 1990 (UK), Computer Fraud and Abuse Act (US), and equivalent legislation in other jurisdictions. Injecting events into production SIEM pipelines or log aggregators without written authorisation may also engage evidence tampering statutes. Always obtain written authorisation before conducting observability security assessments. Apache License 2.0.