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Wiki

ZLIB Header

11.11.2025 Vasilii Comments Off on ZLIB Header
ZLIB Header

What Is a ZLIB Header?

A ZLIB Header is the small but essential two-byte prefix found at the beginning of every data stream compressed with the ZLIB format. Defined by RFC 1950, it provides key information about the compression method, dictionary usage, and integrity checks. The header ensures that a decompressor correctly interprets the compressed data stream and validates its structure before decompression begins.

Unlike the raw DEFLATE format, which contains no framing or checksum, the ZLIB file Header adds structure and error detection through its compact design, making it a cornerstone in formats like PNG, ZIP, and HTTP compression.

Table of Contents

Technical Structure of the ZLIB Header

The header of a ZLIB file consists of two bytes—CMF (Compression Method and Flags) and FLG (Flags).

CMF (Byte 1):

  • Bits 0–3 (CM): Compression method. Always 8 for the DEFLATE algorithm.
  • Bits 4–7 (CINFO): Compression info, representing the log₂(window size) – 8. For instance, CINFO = 7 means a 32 KB sliding window.

FLG (Byte 2):

  • Bits 0–4 (FCHECK): Checksum ensuring (CMF * 256 + FLG) is divisible by 31.
  • Bit 5 (FDICT): Indicates whether a preset dictionary follows.
  • Bits 6–7 (FLEVEL): Compression level hint (0–3).

Example:

CMF = 0x78

FLG = 0x9C

The resulting header 78 9C indicates DEFLATE compression, 32 KB window, and no preset dictionary — the most common ZLIB Header used in compressed PNG or ZIP files.

How the ZLIB Header Works

When a ZLIB stream begins, the decompressor reads the first two bytes:

1. Verifies that (CMF * 256 + FLG) % 31 == 0.

2. Checks CM = 8 to confirm DEFLATE compression.

3. Determines whether a dictionary is needed.

4. Reads compressed blocks that follow, ending with an Adler-32 checksum.

This systematic approach allows data integrity verification even before decompression, preventing misinterpretation of corrupted streams.

Common Variants of the ZLIB Files

Depending on compression level, you may encounter slightly different header values:

Header

Description

Use Case

78 01

Fastest compression

Temporary data or caching

78 9C

Default compression

PNG, ZIP, HTTP

78 DA

Maximum compression

Archival data

Though the compression ratio differs, the ZLIB file structure and validation logic remain identical.

What Is ZLIB Header

ZLIB File Errors and How to Fix Them

1. “Incorrect header check”

Occurs when the header bytes are corrupted.

  • Fix: Replace the first two bytes with 78 9C (standard header) if the stream uses DEFLATE.

2. “Unknown compression method”

Triggered when CM ≠ 8.

  • Fix: Verify that the file is truly in ZLIB format and not raw DEFLATE or GZIP.

3. “Adler-32 mismatch”

Header is valid but data or checksum is damaged.

  • Fix: Use recovery tools capable of scanning and reconstructing partial compressed streams.

Professional recovery utilities such as Magic Data Recovery by Amagicsoft can automatically detect ZLIB-compressed blocks, validate header integrity, and restore readable content from damaged archives or binary fragments.

ZLIB Files vs. Other Compression Wrappers

Feature

ZLIB

GZIP

Raw DEFLATE

Header Size

2 bytes

10+ bytes

None

Checksum

Adler-32

CRC32

None

Typical Use

PNG, ZIP, HTTP

.gz files

Embedded data

Error Detection

Yes

Yes

No

The ZLIB Header offers the lightest structure while maintaining reliability—perfect for embedded or streaming use cases.

Practical Example: Reading the ZLIB Header

A typical verification routine may follow these steps:

1. Read first two bytes (CMF, FLG)

2. Verify (CMF * 256 + FLG) % 31 == 0

3. Ensure CM == 8

4. Check FDICT bit; read dictionary ID if needed

If these conditions fail, the stream cannot be decompressed properly, signaling header corruption or wrong format identification.

Conclusion

The ZLIB Header may be only two bytes long, but it defines how an entire compression stream behaves—from structure validation to data recovery. Understanding its composition helps developers, system engineers, and digital forensics specialists identify corrupted data, troubleshoot compression errors, and reconstruct damaged files.

When facing broken ZLIB-compressed archives or corrupted PNGs, using professional software like Magic Data Recovery ensures that the header and its associated stream are analyzed safely and restored with precision—protecting your data without risking further loss.

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Supports Windows 7/8/10/11 and Windows Server

FAQ

1. What is the main purpose of the ZLIB Header?

It identifies the compression method (usually DEFLATE), defines the window size, and ensures the data stream’s integrity through checksum validation.

2. How can I identify a ZLIB file?

Look at the first two bytes of the stream. Common values like 78 9C or 78 DA indicate a standard ZLIB Header.

3. What causes “incorrect header check” errors in ZLIB streams?

These errors occur when the header bytes are modified, missing, or not divisible by 31 according to the ZLIB format specification.

4. Can a ZLIB file be repaired manually?

Yes. If the data is known to be DEFLATE-compressed, replacing the first two bytes with a valid header such as 78 9C can restore decompression capability.

5. Are ZLIB files the same as GZIP files?

No. GZIP uses a longer header and CRC32 checksum, while the ZLIB Header is shorter (2 bytes) and uses Adler-32 for verification.

6. Why is understanding the ZLIB Header important for digital forensics?

Because many file types (PNG, PDF, ZIP) rely on ZLIB compression, identifying the header allows forensic experts to recover and authenticate fragmented or partially deleted data.
  • WiKi
Vasilii

Vasilii is a data recovery specialist with around 10 years of hands-on experience in the field. Throughout his career, he has successfully solved thousands of complex cases involving deleted files, formatted drives, lost partitions, and RAW file systems. His expertise covers both manual recovery methods using professional tools like hex editors and advanced automated solutions with recovery software. Vasilii's mission is to make reliable data recovery knowledge accessible to both IT professionals and everyday users, helping them safeguard their valuable digital assets.

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