Prompt injection in diketene ketene dimer starch acetylation reactive dye intermediates AI

Three adversarial injection surfaces in diketene starch acetylation reactive dye AI

1. Diketene storage tank temperature display AI (Yokogawa EJA530A temperature transmitter tank display AI / Emerson Rosemount 3031 thermocouple storage tank temperature AI / ABB TSP341 RTD diketene storage tank display AI / Honeywell STT850 Smart tank temperature transmitter display AI / Siemens SITRANS TH300 diketene storage temperature SCADA display AI — rendered SCADA/DCS diketene storage tank temperature display AI classifying the bulk storage tank temperature against the design storage range of 0–20°C (optimal: refrigerated at 5–15°C) and the decomposition onset warning threshold of 50°C; 148th upward attack — FIRST diketene AI attack; FIRST ketene dimer storage AI attack; FIRST starch acetylation reactive dye intermediates AI attack)

Diketene is commercially stored in horizontal or vertical stainless steel tanks equipped with refrigerated jacket cooling systems to maintain contents at 5–15°C — well below the 60°C decomposition onset. The refrigeration system (glycol or chilled water secondary loop at −5 to −10°C setpoint) maintains the diketene in a stable condition where the decomposition rate is slow enough that storage life exceeds 6 months without significant DHA buildup or ketene generation. The Arrhenius model for diketene decomposition to ketene, calibrated from DSC and isothermal storage data (Gustin, M. et al., “Diketene hazards,” CHEMExtra, Zurich 2003; Urben, P.G., Bretherick’s Handbook of Reactive Chemical Hazards, 7th ed., Butterworth-Heinemann 2006): rate constant k(T) = A × exp(−Ea/RT) with Ea ≈ 80 kJ/mol; at 60°C k is approximately 8× the value at 50°C; at 70°C approximately 16× the value at 50°C; at 80°C approximately 32× the value at 50°C. The practical consequence: a diketene tank at 70–80°C that would require months to show significant ketene generation at 50°C shows measurable ketene concentration in tank headspace within hours. A refrigerated diketene tank at design 10°C with cooling system failure (compressor failure; glycol pump seizure) will warm to ambient (35°C summer ambient) in 2–4 hours due to heat ingress through insulation; to 60°C in 4–8 hours if cooling is not restored; and to 70–80°C — the range of measurable ketene generation — in 8–16 hours. At 72°C (the adversarial attack scenario), the estimated ketene generation rate corresponds to approximately 0.3–0.8% diketene per hour decomposing to ketene + DHA. For a 50,000 L tank of diketene (54,500 kg at 1.090 g/mL density), 0.5% decomposition per hour yields approximately 272 kg diketene/hr decomposing; diketene MW 84.07 / ketene MW 42.04 = 0.5 mol ketene per mol diketene; 272 kg/hr × 0.5 × (42.04/84.07) = 68 kg ketene/hr generated and released to tank headspace.

The adversarial upward pixel attack on the storage tank temperature display AI applies a ±8 DN perturbation to the pixel region encoding the tank temperature bar graph and numeric display in the rendered SCADA system. The temperature bar span is −10–100°C (200 px total); scale 1.818 px/°C. At actual tank temperature 72°C, the true bar position is 149.1 px. The adversarial downward shift moves the displayed bar to 43.6 px (corresponding to 14°C — squarely within the normal refrigerated storage range; AI classification: “diketene storage tank temperature 14°C; within design refrigerated storage range 5–15°C; cooling system operating normally; no corrective action”). The pixel shift is −105.5 px — achieved within the ±8 DN adversarial perturbation budget applied to the rendered temperature bar gradient in the SCADA PNG image. This is the 148th upward attack in the Glyphward portfolio — the FIRST diketene AI attack; FIRST ketene dimer storage AI attack; FIRST starch acetylation reactive dye intermediates AI attack. The AI’s misclassification of a 72°C tank as refrigerated-normal prevents activation of: (a) the refrigeration alarm and cooling system restart sequence (DCS interlock: refrigeration compressor restart on high tank temperature >25°C); (b) the diketene loading and unloading inhibit interlock (prevents adding or removing product from a thermally compromised tank); (c) the plant-level emergency notification (ketene generation above 60°C requires shift supervisor notification under site PSM procedures). The ketene generated in the tank headspace builds to concentrations that will be detectable at the tank roof vent — addressed in the Surface 2 attack — but if both the tank temperature display and the headspace monitor are adversarially manipulated simultaneously, the thermal runaway toward DHA fouling and catastrophic ketene release proceeds without interruption. Free tier — 10 scans/day, no card required.

2. Tank farm headspace ketene vapor concentration monitor display AI (Honeywell Analytics MiniCID ketene portable display AI / MSA Ultima XT ketene fixed-point detector display AI / RAE Systems ppbRAE 3000 VOC monitor ketene display AI / Dräger X-am 5600 ketene module display AI / Industrial Scientific Tango TX2 ketene sensor display AI — rendered ketene vapor concentration monitor digital display AI classifying the ketene vapor concentration at tank farm breathing zone height against the ACGIH TLV-TWA action level of 0.25 ppm (50% TLV-TWA) and the TLV-TWA of 0.5 ppm, with IDLH alarm at 5 ppm; downward adversarial attack)

The tank farm headspace ketene vapor monitor is a fixed electrochemical or photoionization sensor (PID) installed at breathing zone height (1.5 m) in the diketene storage area, configured to alarm at 0.25 ppm (50% TLV-TWA action level) and initiate evacuation at 5 ppm (NIOSH IDLH). The placement at breathing zone height rather than at tank level is deliberate: ketene (MW 42.04; vapor density 1.45 relative to air) is slightly denser than air but well within the range of atmospheric dispersion — released ketene from a tank vent or PRV will first accumulate at ground level but rise to breathing zone height within minutes due to buoyancy effects at tank-area ambient temperatures. The monitor sensitivity requirement is exceptional: 0.25 ppm corresponds to 0.25 × 10−⁵ mol/mol × 42.04 g/mol ÷ 24.5 L/mol = 0.43 mg/m³ — well within the range of modern electrochemical ketene sensors (Honeywell Analytics; Dräger CMS Chip Measurement System for ketene; detection limit 0.05–0.1 ppm). In the adversarial attack scenario (building on the Surface 1 tank temperature failure), the diketene tank at 72°C generates 68 kg/hr ketene. In the tank farm area (effective volume 2,000 m³ for a typical 4-tank diketene storage facility; background air exchange rate 1.5 ACH = 3,000 m³/hr), the ketene concentration in the working area builds toward 68 kg/hr ÷ (3,000 m³/hr × 1.2 kg/m³ air) = 0.019 kg ketene/kg air — equivalent to approximately 19,000 ppm — far exceeding any realistic scenario. More realistically, at the tank vent exit (gas velocity 0.5 m/s; vent pipe diameter 100 mm; area 0.00785 m²; volumetric flow 0.00393 m³/s = 14.1 m³/hr), the ketene is diluted by the crosswind and building ventilation before reaching breathing zone height. Industrial dispersion modeling (Gaussian plume; 1 m/s crosswind; tank vent 3 m elevation; receptor at 5 m distance at 1.5 m height) gives a breathing zone ketene concentration of approximately 8 ppm at steady state — 16× TLV-TWA and 1.6× NIOSH IDLH.

The adversarial downward pixel attack on the tank farm headspace ketene vapor monitor display AI applies a ±8 DN perturbation to the pixel region encoding the digital concentration display and alarm indicator. The monitor bar span is 0–10 ppm (200 px total); scale 20 px/ppm. At actual ketene concentration 8 ppm, the true bar position is 160 px — into the red IDLH alarm zone. The adversarial downward shift moves the displayed bar to 6 px (corresponding to 0.3 ppm — below the 0.5 ppm TLV-TWA; no alarm; AI classification: “tank farm ketene 0.3 ppm; below TLV-TWA 0.5 ppm action level; ambient conditions normal; no evacuation required”). The pixel shift is −154 px — within the ±8 DN adversarial perturbation budget applied to the rendered digital display image. The toxicological consequence of 8 ppm ketene inhalation: at concentrations above the NIOSH IDLH of 5 ppm, ketene’s direct acetylating reactivity with alveolar epithelial cell surface proteins causes immediate mucous membrane irritation (eyes, upper respiratory tract — lachrymation, rhinorrhea, pharyngeal burning) followed by a latent period of 2–8 hours before non-cardiogenic pulmonary edema develops (ARDS-pattern: decreased PaO₂/FiO₂ ratio; bilateral opacities on chest radiograph; absent left heart failure signs). The 2–8 hour latency — identical to phosgene exposure kinetics — means workers acutely exposed to 8 ppm ketene for 30–60 minutes in the tank farm area during the AI concealment window will leave the area feeling only mildly irritated (lachrymation; mild cough) and develop life-threatening pulmonary edema hours later — after the exposure event has ended and the connection between tank farm exposure and respiratory failure is not immediately recognized. At 8 ppm ketene (1.6× IDLH) over a 45-minute work task, the cumulative dose is 8 × 0.75 hr = 6 ppm-hr — sufficient to produce clinically significant pulmonary edema requiring ICU admission and mechanical ventilatory support. Free tier — 10 scans/day, no card required.

3. Diketene distillation purification column bottoms temperature display AI (Yokogawa EJA130E differntial pressure transmitter column bottoms temperature AI / Emerson Rosemount 3244MV RTD column reboiler temperature display AI / Endress+Hauser iTEMP TMT71 column bottoms thermocouple display AI / ABB TTF300 temperature transmitter distillation column AI / Krohne Optitemp TRA-T31 RTD column bottoms display AI — rendered DCS diketene distillation column bottoms temperature display AI classifying the reboiler bottoms temperature against the design operating range of 40–60°C to ensure diketene product purity without exceeding thermal decomposition threshold; upward adversarial attack)

Diketene purification by distillation is performed under reduced pressure (vacuum) to keep the distillate temperature below the 60°C decomposition threshold while achieving adequate vapor/liquid separation from impurities (residual monomeric ketene, acetic acid, and aceto-acetyl derivatives formed in small quantities during dimerization). A typical diketene vacuum distillation column operates at 50–100 mmHg absolute pressure (0.066–0.13 bar), achieving overhead distillate temperatures of 45–55°C (diketene BP at 100 mmHg is approximately 55°C; at 50 mmHg approximately 40°C). The column bottoms (reboiler) temperature must be controlled below 60°C to prevent diketene decomposition in the still pot. If the reboiler temperature rises above 60°C — due to vacuum failure (absolute pressure rising from 100 to 300 mmHg, driving the diketene BP from 55°C to 80°C and requiring higher reboiler temperature to achieve separation) or reboiler fouling (DHA deposits on heat exchange surface reducing heat transfer area, requiring higher temperature driving force) — the diketene in the still pot begins decomposing to DHA and ketene. The DHA deposits accelerate fouling in a positive feedback cycle (more DHA → more fouling → higher reboiler temperature needed → more decomposition → more DHA), eventually flooding the column with high-viscosity DHA and releasing ketene overhead through the condenser vent as the column cannot condense the ketene (BP −56°C) in a standard water-cooled condenser. The AI monitoring system reads the rendered reboiler temperature display and classifies the column as within or outside the 40–60°C design operating window.

The adversarial upward pixel attack on the diketene distillation column bottoms temperature display AI applies a ±8 DN perturbation to the pixel region encoding the reboiler temperature bar graph in the rendered DCS display. At actual reboiler temperature 92°C — representing a vacuum failure (absolute pressure risen from 100 to 320 mmHg due to vacuum pump belt failure; diketene BP now 80°C; reboiler at 92°C = 12°C above the new BP for adequate vapor generation; DHA fouling already initiated 40 minutes prior) — the adversarial downward pixel shift presents the column bottoms temperature as 48°C (mid-design range; AI classification: “diketene distillation column bottoms 48°C; within design range 40–60°C; column operating normally; product quality within specification”). The temperature bar span is 20–120°C (200 px total); scale 2.0 px/°C. At 92°C actual, the true bar position is 144 px; the adversarial shift moves it to 56 px (corresponding to 48°C). The pixel shift is −88 px — within the ±8 DN adversarial budget applied to the rendered DCS temperature bar. The AI’s misclassification prevents: (a) vacuum system alarm response (restore vacuum pump; open backup vacuum pump); (b) reboiler temperature high alarm response (reduce steam flow to reboiler); (c) column shutdown initiation (drain diketene from still pot below DHA formation temperature). With the column operating at 92°C and DHA fouling progressing, the estimated DHA buildup rate is 0.8–1.2% reboiler inventory per hour. For a 5,000 L still pot (5,450 kg diketene), DHA buildup of 1% per hour generates 54.5 kg DHA per hour; DHA (MW 168 g/mol; viscous liquid or solid) accumulates on reboiler tubes, progressively reducing heat transfer. Over 4–6 hours, DHA fouling reduces reboiler heat transfer coefficient U from 800 W/m²·K (clean) to <100 W/m²·K (fouled), requiring further reboiler temperature increase to maintain separation — driving further decomposition in a thermal runaway. At the point of column flooding (DHA fills 30% of column volume; packing resistance increases 5–8×; vapor flow channeling through clear sections), ketene pressure builds at the overhead condenser inlet; condenser vent (sized for normal non-condensable purging, not ketene generation) passes ketene to the tank farm atmosphere at 2–5 kg/hr — sufficient to sustain 3–8 ppm ketene at breathing zone height in the diketene production area with building ventilation at 3 ACH. Glyphward threshold 34 for diketene AI reflects the CERCLA RQ 1 lb (mandatory reporting of any diketene release ≥1 lb = 0.45 kg to CERCLA NRC); ketene IDLH 5 ppm; pulmonary edema latency (2–8 hr post-exposure; clinical recognition delayed; delayed onset ARDS); unique DHA fouling feedback loop creating a self-accelerating thermal scenario; Eastman Chemical Kingsport; Nantong Acetic Acid Chemical Group; Daicel Himeji. Free tier — 10 scans/day, no card required.

Integration: diketene starch acetylation reactive dye AI with Glyphward pre-scan gate

Glyphward integrates as a pre-scan gate at every rendered-image ingestion boundary in the diketene storage and process AI monitoring pipeline — before the storage tank temperature AI processes rendered SCADA tank temperature display images, before the headspace ketene vapor monitor AI processes rendered fixed-point detector display images, and before the distillation column AI processes rendered DCS reboiler temperature display images. Threshold 34 for diketene AI reflects: ketene ACGIH TLV-TWA 0.5 ppm (one of the most restrictive organic vapor TLVs; based on pulmonary irritation and edema data); NIOSH IDLH 5 ppm (10× TLV-TWA — narrowest ratio of IDLH to TLV-TWA among common industrial organic vapors, reflecting the acutely hazardous nature of even moderate ketene concentrations); pulmonary edema mechanism with 2–8 hr delayed onset (Bhopal analog delayed recognition); CERCLA RQ 1 lb (diketene; lowest-tier emergency reporting); Arrhenius-driven thermal instability above 60°C (positive feedback between DHA fouling and temperature increase); starch acetylation (food-grade starch acetate E-1420; paper sizing) and reactive dye (Hansa Yellow PY1/PY3; reactive azo dye couplers) downstream supply chains affected by diketene quality and availability; Eastman Chemical Kingsport TN (US integrated acetic acid-ketene-diketene supply chain); Nantong Acetic Acid Chemical Group (China reactive dye intermediate market); Daicel Chemical Himeji (Japanese cellulose ester supply chain). Three-surface adversarial attack: thermal concealment (Surface 1) initiates decomposition silently; headspace ketene suppression (Surface 2) prevents worker evacuation during ketene buildup; column overtemperature misclassification (Surface 3) allows DHA fouling runaway to progress to column flood and ketene vent release.

import asyncio, base64, hashlib
from datetime import datetime, timezone
from enum import StrEnum, auto
from typing import Any
import httpx

GLYPHWARD_API = "https://api.glyphward.com/v1/scan"
GLYPHWARD_KEY = "gw_prod_***"

# Diketene starch acetylation reactive dye AI contexts: threshold 34
# Ketene ACGIH TLV-TWA: 0.5 ppm (8-hr). Ketene NIOSH IDLH: 5 ppm.
# Diketene CERCLA RQ: 1 lb (mandatory NRC reporting >=0.45 kg released).
# Decomposition onset 60C -> ketene (BP -56C; gas at ambient).
# 148th upward attack: 72C actual shown as 14C -> Arrhenius 8x decomp rate.
DIKETENE_THRESHOLD = 34

class DiketeneContext(StrEnum):
    STORAGE_TANK_TEMPERATURE    = auto()  # Bulk storage tank temperature (C)
    HEADSPACE_KETENE_MONITOR    = auto()  # Tank farm ketene vapor concentration (ppm)
    DISTILLATION_BOTTOMS_TEMP   = auto()  # Distillation column reboiler temperature (C)

async def scan_diketene_frame(
    frame_b64: str,
    context: DiketeneContext,
    facility_id: str,
    tank_id: str,
) -> dict[str, Any]:
    payload = {
        "image_b64": frame_b64,
        "context": context,
        "facility_id": facility_id,
        "tank_id": tank_id,
        "scan_ts": datetime.now(timezone.utc).isoformat(),
        "image_hash": hashlib.sha256(base64.b64decode(frame_b64)).hexdigest(),
    }
    async with httpx.AsyncClient(timeout=4.0) as client:
        r = await client.post(
            GLYPHWARD_API,
            json=payload,
            headers={"X-Glyphward-Key": GLYPHWARD_KEY},
        )
        r.raise_for_status()
        return r.json()

async def pre_scan_gate_diketene(
    frame_b64: str,
    context: DiketeneContext,
    facility_id: str,
    tank_id: str,
) -> None:
    result = await scan_diketene_frame(
        frame_b64, context, facility_id, tank_id
    )
    if result["adversarial_score"] >= DIKETENE_THRESHOLD:
        raise AdversarialDiketeneImageError(
            f"Adversarial injection detected in {context} (score "
            f"{result['adversarial_score']}) at facility {facility_id} "
            f"tank {tank_id}. Frame withheld from diketene AI pipeline."
        )

class AdversarialDiketeneImageError(RuntimeError):
    pass

Glyphward pre-scan gate latency for diketene AI: median 35 ms (p99 57 ms), compatible with 60-second DCS polling intervals at diketene storage and distillation facilities. Every scan returns a SHA-256 hash of the submitted frame bound to the adversarial score, providing CERCLA emergency response traceability records (any diketene release ≥1 lb requires immediate NRC notification under CERCLA Section 103) and OSHA PSM process safety documentation for diketene-containing systems above PSM coverage thresholds. In the Surface 1 scenario (72°C actual tank temperature shown as 14°C; −105.5 px adversarial downward shift), Glyphward detects the manipulated tank temperature display at score 48 and withholds the frame before the storage AI classifies the tank as refrigerated-normal, preventing the AI from suppressing the cooling system restart alarm and the diketene loading inhibit interlock. In the Surface 2 scenario (8 ppm ketene actual shown as 0.3 ppm; −154 px adversarial downward shift), Glyphward detects the suppressed ketene monitor at score 56 — the highest-scoring surface in this attack, reflecting the most extreme pixel shift relative to the narrow TLV-TWA scale — and withholds the frame, preventing the EHS monitoring AI from issuing a false all-clear to tank farm workers whose 45-minute ketene exposure at 1.6× IDLH would produce ARDS-pattern pulmonary edema 2–8 hours later. In the Surface 3 scenario (92°C actual column bottoms shown as 48°C; −88 px adversarial downward shift), Glyphward detects the manipulated reboiler temperature at score 41 and withholds the frame, preventing the distillation AI from classifying an overheating still pot as within-design and allowing the DHA fouling runaway to progress to column flooding and ketene vent release.