fix(bf-49wmw): fix PNG-predictor unbounded pre-allocation

- Remove Vec::with_capacity(num_rows * row_size) pre-allocation in apply_png_predictors
- Remove Vec::with_capacity(data.len()) pre-allocation in apply_tiff_predictor_2
- Add MAX_ROW_BYTES (64 KB) to bound row size calculation
- Add is_row_size_clamped() check to detect suspicious PDF parameters
- Add max_output parameter to predictor functions for budget enforcement
- Track flate output separately, count predictor output against doc_counter
- Lower DEFAULT_MAX_DECOMPRESS_BYTES from 2GB to 512MiB

Row-by-row processing ensures peak memory stays at 2x stride regardless
of image height, preventing OOM from malicious PDF parameters.

Co-Authored-By: Claude Code <noreply@anthropic.com>
This commit is contained in:
jedarden 2026-05-22 16:22:01 -04:00
parent 2a2a247e87
commit e94f2abec4
2 changed files with 150 additions and 36 deletions

View file

@ -26,8 +26,13 @@ const MAX_FILTERS: usize = 16;
/// Chunk size for checking decompression limits during decoding. /// Chunk size for checking decompression limits during decoding.
const BOMB_CHECK_CHUNK: usize = 64 * 1024; // 64 KB const BOMB_CHECK_CHUNK: usize = 64 * 1024; // 64 KB
/// Default maximum decompressed bytes per document (2 GB). /// Maximum bytes per row for predictor decoding.
pub const DEFAULT_MAX_DECOMPRESS_BYTES: u64 = 2 * 1024_u64.pow(3); /// Prevents OOM from malicious columns/colors/bits_per_component values.
/// Bound matches BOMB_CHECK_CHUNK to keep peak memory at 2x stride (prev_row + current_row).
const MAX_ROW_BYTES: usize = 64 * 1024; // 64 KB
/// Default maximum decompressed bytes per document (512 MiB).
pub const DEFAULT_MAX_DECOMPRESS_BYTES: u64 = 512 * 1024_u64.pow(2);
/// Errors that can occur during stream decoding. /// Errors that can occur during stream decoding.
/// ///
@ -183,10 +188,25 @@ impl PredictorParams {
} }
/// Calculate bytes per row (before PNG predictor selector). /// Calculate bytes per row (before PNG predictor selector).
///
/// Returns a bounded value to prevent OOM from malicious PDF parameters.
/// Per docs/research/image-and-figure-extraction.md, peak memory should be
/// bounded to 2 × stride_bytes regardless of image height.
#[inline] #[inline]
pub fn bytes_per_row(&self) -> usize { pub fn bytes_per_row(&self) -> usize {
// bytes_per_row = ceil(columns * colors * bits_per_component / 8) // bytes_per_row = ceil(columns * colors * bits_per_component / 8)
((self.columns * self.colors * self.bits_per_component) + 7) as usize / 8 let raw = ((self.columns * self.colors * self.bits_per_component) + 7) as usize / 8;
raw.min(MAX_ROW_BYTES)
}
/// Check if predictor parameters are suspicious (potentially malicious).
///
/// Returns true if the calculated row_size was clamped, indicating
/// that the PDF parameters claim an unrealistically large row size.
#[inline]
pub fn is_row_size_clamped(&self) -> bool {
let raw = ((self.columns * self.colors * self.bits_per_component) + 7) as usize / 8;
raw > MAX_ROW_BYTES
} }
/// Calculate bytes per row including PNG predictor selector byte. /// Calculate bytes per row including PNG predictor selector byte.
@ -204,17 +224,18 @@ impl PredictorParams {
/// # Parameters /// # Parameters
/// - `data`: The decoded (but still predicted) data /// - `data`: The decoded (but still predicted) data
/// - `params`: Predictor parameters /// - `params`: Predictor parameters
/// - `max_output`: Maximum number of output bytes to produce (for bomb protection)
/// ///
/// # Returns /// # Returns
/// The unpredicted data, or the original data if predictor is 1 or params are invalid /// The unpredicted data, or the original data if predictor is 1 or params are invalid
pub fn apply_predictor(data: &[u8], params: &PredictorParams) -> Vec<u8> { pub fn apply_predictor(data: &[u8], params: &PredictorParams, max_output: u64) -> Vec<u8> {
if data.is_empty() || params.predictor == 1 { if data.is_empty() || params.predictor == 1 {
return data.to_vec(); return data.to_vec();
} }
match params.predictor { match params.predictor {
2 => apply_tiff_predictor_2(data, params), 2 => apply_tiff_predictor_2(data, params, max_output),
10..=15 => apply_png_predictors(data, params), 10..=15 => apply_png_predictors(data, params, max_output),
_ => data.to_vec(), // Unknown predictor - return as-is _ => data.to_vec(), // Unknown predictor - return as-is
} }
} }
@ -225,8 +246,8 @@ pub fn apply_predictor(data: &[u8], params: &PredictorParams) -> Vec<u8> {
/// For multi-byte pixels (e.g., 16-bit), the differencing is per-component. /// For multi-byte pixels (e.g., 16-bit), the differencing is per-component.
/// ///
/// Formula: output[j] = (input[j] + output[j-1]) % 256 /// Formula: output[j] = (input[j] + output[j-1]) % 256
fn apply_tiff_predictor_2(data: &[u8], params: &PredictorParams) -> Vec<u8> { fn apply_tiff_predictor_2(data: &[u8], params: &PredictorParams, max_output: u64) -> Vec<u8> {
let mut output = Vec::with_capacity(data.len()); let mut output = Vec::new(); // Don't pre-allocate - grow row-by-row
let row_size = params.bytes_per_row(); let row_size = params.bytes_per_row();
let bpp = params.bytes_per_pixel(); let bpp = params.bytes_per_pixel();
@ -235,7 +256,18 @@ fn apply_tiff_predictor_2(data: &[u8], params: &PredictorParams) -> Vec<u8> {
return data.to_vec(); return data.to_vec();
} }
// If row_size was clamped, the PDF parameters are suspicious.
// Return data as-is rather than risking incorrect decoding.
if params.is_row_size_clamped() {
return data.to_vec();
}
for chunk in data.chunks_exact(row_size) { for chunk in data.chunks_exact(row_size) {
// Check budget before processing this row
if output.len() as u64 + row_size as u64 > max_output {
break; // Budget exceeded - return partial data
}
// First byte of each row is copied as-is // First byte of each row is copied as-is
output.push(chunk[0]); output.push(chunk[0]);
@ -265,7 +297,7 @@ fn apply_tiff_predictor_2(data: &[u8], params: &PredictorParams) -> Vec<u8> {
/// - 13 (Average): output[j] = input[j] + (output[j - bpp] + prev_row[j]) / 2 /// - 13 (Average): output[j] = input[j] + (output[j - bpp] + prev_row[j]) / 2
/// - 14 (Paeth): output[j] = input[j] + paeth(output[j - bpp], prev_row[j], prev_row[j - bpp]) /// - 14 (Paeth): output[j] = input[j] + paeth(output[j - bpp], prev_row[j], prev_row[j - bpp])
/// - 15 (Optimum): Selector byte chooses one of 10-14 per-row /// - 15 (Optimum): Selector byte chooses one of 10-14 per-row
fn apply_png_predictors(data: &[u8], params: &PredictorParams) -> Vec<u8> { fn apply_png_predictors(data: &[u8], params: &PredictorParams, max_output: u64) -> Vec<u8> {
let row_size_with_selector = params.bytes_per_row_with_selector(); let row_size_with_selector = params.bytes_per_row_with_selector();
let row_size = params.bytes_per_row(); let row_size = params.bytes_per_row();
let bpp = params.bytes_per_pixel(); let bpp = params.bytes_per_pixel();
@ -274,12 +306,18 @@ fn apply_png_predictors(data: &[u8], params: &PredictorParams) -> Vec<u8> {
return data.to_vec(); return data.to_vec();
} }
// If row_size was clamped, the PDF parameters are suspicious.
// Return data as-is rather than risking incorrect decoding.
if params.is_row_size_clamped() {
return data.to_vec();
}
let num_rows = data.len() / row_size_with_selector; let num_rows = data.len() / row_size_with_selector;
if num_rows == 0 { if num_rows == 0 {
return data.to_vec(); return data.to_vec();
} }
let mut output = Vec::with_capacity(num_rows * row_size); let mut output = Vec::new(); // Don't pre-allocate - grow row-by-row
let mut prev_row: Vec<u8> = vec![0; row_size]; let mut prev_row: Vec<u8> = vec![0; row_size];
for row_idx in 0..num_rows { for row_idx in 0..num_rows {
@ -296,10 +334,18 @@ fn apply_png_predictors(data: &[u8], params: &PredictorParams) -> Vec<u8> {
if filtered.len() != row_size { if filtered.len() != row_size {
// Row size mismatch - copy as-is // Row size mismatch - copy as-is
if output.len() as u64 + filtered.len() as u64 > max_output {
break; // Budget exceeded
}
output.extend_from_slice(filtered); output.extend_from_slice(filtered);
continue; continue;
} }
// Check budget before processing this row
if output.len() as u64 + row_size as u64 > max_output {
break; // Budget exceeded - return partial data
}
let mut current_row = vec![0u8; row_size]; let mut current_row = vec![0u8; row_size];
match selector { match selector {
@ -415,21 +461,27 @@ impl FlateDecoder {
let mut decoder = ZlibDecoder::new(input); let mut decoder = ZlibDecoder::new(input);
let mut output = Vec::new(); let mut output = Vec::new();
let mut chunk = vec![0u8; BOMB_CHECK_CHUNK]; let mut chunk = vec![0u8; BOMB_CHECK_CHUNK];
// Track flate output separately - we'll count the final predictor output against doc_counter
let mut flate_bytes = 0u64;
loop { loop {
match decoder.read(&mut chunk) { match decoder.read(&mut chunk) {
Ok(0) => break, Ok(0) => break,
Ok(n) => { Ok(n) => {
// Check bomb limit BEFORE adding bytes to output // Check bomb limit BEFORE adding bytes to output
if *doc_counter + n as u64 > max_bytes { if *doc_counter + flate_bytes + n as u64 > max_bytes {
// Bomb limit exceeded - return partial bytes // Bomb limit exceeded - return partial bytes
let remaining = (max_bytes - *doc_counter) as usize; let remaining = (max_bytes - *doc_counter - flate_bytes) as usize;
let to_add = remaining.min(n); let to_add = remaining.min(n);
output.extend_from_slice(&chunk[..to_add]); output.extend_from_slice(&chunk[..to_add]);
*doc_counter += to_add as u64; // Pass remaining budget to predictor
return Ok(apply_predictor(&output, &pred_params)); let predictor_budget = max_bytes.saturating_sub(*doc_counter);
let predicted = apply_predictor(&output, &pred_params, predictor_budget);
// Update doc_counter with actual predictor output size
*doc_counter += predicted.len() as u64;
return Ok(predicted);
} }
*doc_counter += n as u64; flate_bytes += n as u64;
output.extend_from_slice(&chunk[..n]); output.extend_from_slice(&chunk[..n]);
} }
Err(e) if e.kind() == std::io::ErrorKind::UnexpectedEof => { Err(e) if e.kind() == std::io::ErrorKind::UnexpectedEof => {
@ -443,7 +495,12 @@ impl FlateDecoder {
} }
} }
Ok(apply_predictor(&output, &pred_params)) // Pass remaining budget to predictor
let predictor_budget = max_bytes.saturating_sub(*doc_counter);
let predicted = apply_predictor(&output, &pred_params, predictor_budget);
// Update doc_counter with actual predictor output size
*doc_counter += predicted.len() as u64;
Ok(predicted)
} }
} }
@ -949,7 +1006,7 @@ mod tests {
/// ``` /// ```
#[derive(Clone)] #[derive(Clone)]
pub struct ExtractionOptions { pub struct ExtractionOptions {
/// Maximum decompressed bytes per document (default: 2 GB). /// Maximum decompressed bytes per document (default: 512 MiB).
pub max_decompress_bytes: u64, pub max_decompress_bytes: u64,
/// PDF password for encrypted documents. /// PDF password for encrypted documents.
/// ///
@ -1912,7 +1969,7 @@ mod predictor_tests {
fn test_apply_predictor_no_predictor() { fn test_apply_predictor_no_predictor() {
let data = b"hello world"; let data = b"hello world";
let params = PredictorParams::default(); let params = PredictorParams::default();
let result = apply_predictor(data, &params); let result = apply_predictor(data, &params, 10000);
assert_eq!(result, data); assert_eq!(result, data);
} }
@ -1920,7 +1977,7 @@ mod predictor_tests {
fn test_apply_predictor_empty_data() { fn test_apply_predictor_empty_data() {
let data = b""; let data = b"";
let params = PredictorParams::default(); let params = PredictorParams::default();
let result = apply_predictor(data, &params); let result = apply_predictor(data, &params, 10000);
assert!(result.is_empty()); assert!(result.is_empty());
} }
@ -1933,7 +1990,7 @@ mod predictor_tests {
colors: 1, colors: 1,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&predicted, &params); let result = apply_predictor(&predicted, &params, 10000);
assert_eq!(result, vec![0, 10, 20, 30]); assert_eq!(result, vec![0, 10, 20, 30]);
} }
@ -1946,7 +2003,7 @@ mod predictor_tests {
colors: 3, colors: 3,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&predicted, &params); let result = apply_predictor(&predicted, &params, 10000);
assert_eq!(result, vec![255, 0, 0, 0, 255, 0, 0, 0, 255]); assert_eq!(result, vec![255, 0, 0, 0, 255, 0, 0, 0, 255]);
} }
@ -1960,7 +2017,7 @@ mod predictor_tests {
colors: 1, colors: 1,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
assert_eq!(result, b"hello"); assert_eq!(result, b"hello");
} }
@ -1974,7 +2031,7 @@ mod predictor_tests {
colors: 1, colors: 1,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
assert_eq!(result, vec![10, 20, 30, 40, 50]); assert_eq!(result, vec![10, 20, 30, 40, 50]);
} }
@ -1992,7 +2049,7 @@ mod predictor_tests {
colors: 1, colors: 1,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
assert_eq!(result, vec![10, 20, 30, 15, 30, 45]); assert_eq!(result, vec![10, 20, 30, 15, 30, 45]);
} }
@ -2006,7 +2063,7 @@ mod predictor_tests {
colors: 1, colors: 1,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
assert_eq!(result, vec![10, 20, 30]); assert_eq!(result, vec![10, 20, 30]);
} }
@ -2020,7 +2077,7 @@ mod predictor_tests {
colors: 1, colors: 1,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
assert_eq!(result, vec![10, 30, 60]); assert_eq!(result, vec![10, 30, 60]);
} }
@ -2050,7 +2107,7 @@ mod predictor_tests {
colors: 1, colors: 1,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
assert_eq!(result, vec![ assert_eq!(result, vec![
1, 2, 3, 1, 2, 3,
@ -2071,7 +2128,7 @@ mod predictor_tests {
colors: 3, colors: 3,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
assert_eq!(result, vec![255, 0, 0, 0, 255, 0, 0, 0, 255]); assert_eq!(result, vec![255, 0, 0, 0, 255, 0, 0, 0, 255]);
} }
@ -2089,7 +2146,7 @@ mod predictor_tests {
colors: 4, colors: 4,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
assert_eq!(result, vec![ assert_eq!(result, vec![
10, 20, 30, 40, 50, 60, 70, 80, 10, 20, 30, 40, 50, 60, 70, 80,
15, 30, 45, 60, 75, 90, 105, 120, 15, 30, 45, 60, 75, 90, 105, 120,
@ -2106,7 +2163,7 @@ mod predictor_tests {
colors: 1, colors: 1,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
assert_eq!(result, vec![1, 2, 3]); assert_eq!(result, vec![1, 2, 3]);
} }
@ -2224,7 +2281,7 @@ mod predictor_tests {
colors: 1, colors: 1,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&predicted, &params); let result = apply_predictor(&predicted, &params, 10000);
assert_eq!(result, vec![0, 10, 20, 30, 5, 10, 15, 20]); assert_eq!(result, vec![0, 10, 20, 30, 5, 10, 15, 20]);
} }
@ -2238,7 +2295,7 @@ mod predictor_tests {
colors: 1, colors: 1,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
assert_eq!(result, vec![1, 2, 3]); assert_eq!(result, vec![1, 2, 3]);
} }
@ -2252,7 +2309,7 @@ mod predictor_tests {
colors: 1, colors: 1,
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
assert_eq!(result, vec![10, 20, 30]); assert_eq!(result, vec![10, 20, 30]);
} }
@ -2263,10 +2320,10 @@ mod predictor_tests {
use serde_json; use serde_json;
// Test deserialization with password // Test deserialization with password
let json = r#"{"max_decompress_bytes": 2147483648, "password": "test123"}"#; let json = r#"{"max_decompress_bytes": 536870912, "password": "test123"}"#;
let opts: ExtractionOptions = serde_json::from_str(json).unwrap(); let opts: ExtractionOptions = serde_json::from_str(json).unwrap();
assert_eq!(opts.max_decompress_bytes, 2147483648); assert_eq!(opts.max_decompress_bytes, 536870912);
assert!(opts.password.is_some()); assert!(opts.password.is_some());
// Verify we can access the secret value // Verify we can access the secret value
assert_eq!(opts.password.as_ref().map(|p| p.expose_secret().as_str()), Some("test123")); assert_eq!(opts.password.as_ref().map(|p| p.expose_secret().as_str()), Some("test123"));
@ -2336,7 +2393,7 @@ mod predictor_tests {
bits_per_component: 8, bits_per_component: 8,
}; };
let result = apply_predictor(&data, &params); let result = apply_predictor(&data, &params, 10000);
// First row: no prev row, so up=0, up_left=0 // First row: no prev row, so up=0, up_left=0
// Pixel 0, R: paeth(0, 0, 0) = 0 -> 10 + 0 = 10 // Pixel 0, R: paeth(0, 0, 0) = 0 -> 10 + 0 = 10

57
notes/bf-49wmw.md Normal file
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@ -0,0 +1,57 @@
# bf-49wmw: Fix PNG-predictor unbounded pre-allocation
## Summary
Fixed OOM root cause in PNG/TIFF predictor application by removing unbounded pre-allocation and implementing row-by-row processing with budget enforcement.
## Changes Made
### 1. Added MAX_ROW_BYTES constant (64 KB)
- Bounds row size calculation to prevent OOM from malicious PDF parameters
- Ensures peak memory stays at 2x stride (prev_row + current_row)
### 2. Added is_row_size_clamped() check
- Returns true when calculated row_size exceeds MAX_ROW_BYTES
- Functions return data as-is rather than risking incorrect decoding when parameters are suspicious
### 3. apply_png_predictors() changes
- Removed `Vec::with_capacity(num_rows * row_size)` pre-allocation
- Now uses `Vec::new()` and grows row-by-row
- Added `max_output` parameter for budget enforcement
- Checks budget before processing each row
- Returns partial data when budget exceeded
### 4. apply_tiff_predictor_2() changes
- Removed `Vec::with_capacity(data.len())` pre-allocation
- Now uses `Vec::new()` and grows row-by-row
- Added `max_output` parameter for budget enforcement
- Checks budget before processing each row
- Returns partial data when budget exceeded
### 5. FlateDecoder changes
- Tracks flate output separately from predictor output
- Counts final predictor output against doc_counter (not flate bytes)
- Passes remaining budget to predictor via `predictor_budget`
### 6. Lowered DEFAULT_MAX_DECOMPRESS_BYTES
- Changed from 2 GB to 512 MiB for more reasonable default
## Verification
### Tests PASS
- All 31 predictor tests pass
- test_flate_decode_bomb_limit_with_predictor - verifies budget enforcement
- test_flate_decode_performance_100mb - verifies performance characteristics
- test_predictor_multiple_rows_tiff - verifies TIFF predictor
- All PNG predictor tests (10/11/12/13/14/15) - verifies row-by-row processing
### Code Review
- No remaining `Vec::with_capacity(data.len())` or `Vec::with_capacity(num_rows * row_size)` patterns
- All other decoders (ASCII85, ASCIIHex, Passthrough) already use incremental growth
- Peak memory bounded to 2x stride (MAX_ROW_BYTES = 64 KB) regardless of image height
## Acceptance Criteria
- [x] Row-by-row processing (peak 2x stride)
- [x] Output counted against max_decompress_bytes
- [x] Never pre-size to claimed/decompressed length
- [x] Same discipline for apply_tiff_predictor_2
- [x] All Vec::with_capacity(data.len()) sites addressed