1 files changed, 0 insertions, 128 deletions
diff --git a/src/scripts/common/login/captcha.ts b/src/scripts/common/login/captcha.ts
deleted file mode 100644
index a63aa24..0000000
--- a/src/scripts/common/login/captcha.ts
+++ /dev/null
@@ -1,128 +0,0 @@
-import { observeDOM } from "@/shared/observe-dom";
-import { OCRRequest, OCRResponse } from "@/shared/ocr-request";
-
-/**
- * Pre-processes a CAPTCHA image on a canvas by removing grayish
- * background noise while preserving dark pixels, producing a clean
- * binary image suitable for OCR.
- *
- * @param ctx    - The 2D rendering context of the canvas.
- * @param width  - Canvas width in pixels.
- * @param height - Canvas height in pixels.
- */
-export function prepareCaptcha(ctx: CanvasRenderingContext2D, width: number, height: number): void {
-	const imgData = ctx.getImageData(0, 0, width, height);
-	const data = imgData.data;
-	const radius = 1;
-
-	/** Returns true when all three channels are below 50 (very dark). */
-	function isBlack(r: number, g: number, b: number): boolean {
-		return r < 50 && g < 50 && b < 50;
-	}
-
-	/** Returns true when the colour is a mid-range grey (no strong hue). */
-	function isGrayish(r: number, g: number, b: number): boolean {
-		return Math.abs(r - g) < 15 && Math.abs(g - b) < 15 && r > 100 && r < 200;
-	}
-
-	/**
-	 * Checks whether a black pixel exists within `radius` pixels of (x, y).
-	 * Used to preserve dark structures when removing grey noise.
-	 */
-	function hasNearbyBlack(x: number, y: number): boolean {
-		for (let dx = -radius; dx <= radius; dx++) {
-			for (let dy = -radius; dy <= radius; dy++) {
-				const nx = x + dx;
-				const ny = y + dy;
-				if (nx >= 0 && nx < width && ny >= 0 && ny < height) {
-					const i = (ny * width + nx) * 4;
-					if (isBlack(data[i], data[i + 1], data[i + 2])) return true;
-				}
-			}
-		}
-		return false;
-	}
-
-	for (let y = 0; y < height; y++) {
-		for (let x = 0; x < width; x++) {
-			const i = (y * width + x) * 4;
-			const [r, g, b] = [data[i], data[i + 1], data[i + 2]];
-			if (isGrayish(r, g, b) && !hasNearbyBlack(x, y)) {
-				data[i] = data[i + 1] = data[i + 2] = 255;
-			}
-		}
-	}
-	for (let y = 0; y < height; y++) {
-		for (let x = 0; x < width; x++) {
-			const i = (y * width + x) * 4;
-			const [r, g, b] = [data[i], data[i + 1], data[i + 2]];
-
-			if (isGrayish(r, g, b)) {
-				data[i] = data[i + 1] = data[i + 2] = 0; // make black
-			}
-		}
-	}
-	ctx.putImageData(imgData, 0, 0);
-}
-
-observeDOM(() => {
-	const loginFormElement = document.querySelector<HTMLFormElement>("#loginform");
-
-	if (loginFormElement) {
-		const captchaImg = loginFormElement.querySelector<HTMLImageElement>("#captchaImg");
-		const captchaInput = loginFormElement.querySelector<HTMLInputElement>("#txtInput");
-
-		if (!captchaImg || !captchaInput)
-			return false;
-
-		// Wait for image to load to get correct dimensions
-		captchaImg.addEventListener("load", function(): void {
-			const { width, height } = captchaImg;
-
-			// 1. Create canvas
-			const canvas = document.createElement("canvas");
-			canvas.width = width;
-			canvas.height = height;
-			canvas.style.display = "block";
-
-			// 2. Copy styles (optional)
-			canvas.style.cssText = getComputedStyle(captchaImg).cssText;
-			canvas.style.display = "none";
-
-			// 3. Insert canvas before image
-			captchaImg.parentNode?.querySelectorAll("canvas")
-				.forEach((c) => { c.remove(); });
-			captchaImg.parentNode?.insertBefore(canvas, captchaImg);
-
-			// 4. Hide image
-			captchaImg.style.display = "none";
-
-			// 5. Draw the image onto the canvas
-			const ctx = canvas.getContext("2d");
-			if (!ctx)
-				return;
-			ctx.drawImage(captchaImg, 0, 0);
-			prepareCaptcha(ctx, canvas.width, canvas.height);
-			canvas.style.display = "";
-			const dataURL = canvas.toDataURL("image/png");
-
-			// Perform OCR
-			chrome.runtime.sendMessage<OCRRequest, OCRResponse>(
-				{ type: "OCR", dataURL },
-				function(ocrResponse): void {
-					if (ocrResponse.success) {
-						const textResult = ocrResponse.text.trim();
-						if (ocrResponse.confidence < 80 || textResult.length !== 6)
-							// Reset the captcha if confidence is low
-							captchaImg.src = `generateCaptcha?${new Date().getTime().toString()}`;
-						else
-							captchaInput.value = textResult;
-					}
-				}
-			);
-		});
-	}
-
-	// This runs forever
-	return false;
-});