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Same image but different base64

I used the following function to create a base64 encoded string of my Gravatar image ( https://www.gravatar.com/avatar/cd5415f97afbe0177ba35ae31fbfd0db ):

final BASE64Encoder encoder = new BASE64Encoder(); String encoded = encoder.encode(inputStreamToByteArray(is)); encoded = encoded.replaceAll("\r?\n", ""); return encoded;

I ran the method a couple of days ago and got the following base64 encoding:

 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

Just today, I again performed the method using the same image. But instead of getting the same encoded string, I got:

 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

As you can see, the first pair of characters is the same, but if you look at the end of the lines, you will immediately notice that they are completely different. Why is this? The image is still my Gravatar image (for example, using http://codebeautify.org/base64-to-image-converter shows the same image for both lines).

Thanks for any hint, explanation! Is there something wrong with my implementation? Is implementation time or location dependent? How can I get the same base64 string for the same image?

PS: inputStreamToByteArray is implemented as follows:

 public static byte[] inputStreamToByteArray(final InputStream is) { final ByteArrayOutputStream buffer = new ByteArrayOutputStream(); final byte[] data = new byte[16384]; try { int nRead; while ((nRead = is.read(data, 0, data.length)) != -1) { buffer.write(data, 0, nRead); } buffer.flush(); } catch (final IOException e) { return null; } finally { try { buffer.close(); } catch (final IOException e) { // ignore } } return buffer.toByteArray(); }
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1 answer

Converting both images back to .jpg and using http://regex.info/exif.cgi , the following header comments will appear:

One:

CREATOR: gd-jpeg v1.0 (using IJG JPEG v80), quality = 90

Other:

CREATOR: gd-jpeg v1.0 (using IJG JPEG v62), quality = 90

(I don’t remember in which order I converted the images, but there is a version change anyway)

As you can see, they upgraded the JPEG compressor (or spec?) To a newer version, which led to a different JPEG encoding, or at least a difference in the comments.

So, to answer your question, it seems that there is not a problem with your base64 converter, but simply that the two images are really different

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Source: https://habr.com/ru/post/1257700/

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