Haijun Peng

44 papers C 2Journal 38Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans Autom. Sci. Eng.
Haijun Peng, Pengfei Ma, Hao Yang, Chaozhong Yang, Fei Li, Jie Zhang
2025 J jnl
Algorithms
Xinyue Xu, Fei Li, Lanhui Xiong, Chenyu He, Haijun Peng, Yiwen Zhao, Guoli Song
2025 J jnl
IEEE Trans. Robotics
Fei Li, Hao Yang, Guoying Gu, Yongqing Wang, Haijun Peng
2024 J jnl
CoRR
Ziyun Kan, Mingdong Chen, Haijun Peng, Yizhu Guo, Xueguan Song
2024 J jnl
Artif. Intell. Rev.
Xinwei Wang, Yihui Wang, Xichao Su, Lei Wang, Chen Lu, Haijun Peng, Jie Liu
2024 J jnl
IEEE Trans. Consumer Electron.
Xiaolu Qiu, Zhiqin Cai, Haijun Peng
2024 conf
AIM
Di Luo, Zhiqin Cai, Da Jiang, Haijun Peng
2024 J jnl
Robotics Auton. Syst.
Haijun Peng, Na Li, Dianheng Jiang, Fei Li
2023 J jnl
Eng. Appl. Artif. Intell.
Xinwei Wang, Bai Li, Xichao Su, Haijun Peng, Lei Wang, Chen Lu, Chao Wang
2023 J jnl
Eng. Appl. Artif. Intell.
Xiaohua Gao, Lei Wang, Xinyong Yu, Xichao Su, Yu Ding, Chen Lu, Haijun Peng, Xinwei Wang
2023 conf
RCAR
Na Li, Fei Li, Dianheng Jiang, Haijun Peng
2023 J jnl
Adv. Intell. Syst.
Jie Zhang, Junhao Shi, Junhai Huang, Qihuan Wu, Yuwen Zhao, Jinzhao Yang, Hamed Rajabi, Zhigang Wu, Haijun Peng, Jianing Wu
2022 J jnl
IEEE Trans. Cybern.
Fei Li, Haijun Peng, Xiangshuai Song, Jinguo Liu, Shujun Tan, Zhaojie Ju
2022 J jnl
J. Intell. Robotic Syst.
Xinwei Wang, Jie Liu, Haijun Peng, Xiwang Qie, Xudong Zhao, Chen Lu
2022 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Boyang Shi, Haijun Peng, Xinwei Wang, Wanxie Zhong
2022 J jnl
Appl. Math. Comput.
Xinwei Wang, Jie Liu, Haijun Peng, Xudong Zhao
2022 J jnl
J. Comput. Appl. Math.
Ziyun Kan, Ningning Song, Haijun Peng, Biaosong Chen
2022 J jnl
IEEE Robotics Autom. Lett.
Jie Zhang, Ziyun Kan, You Li, Zhigang Wu, Jianing Wu, Haijun Peng
2022 J jnl
Adv. Intell. Syst.
Jie Zhang, Yunge Hu, You Li, Ke Ma, Yujun Wei, Jinzhao Yang, Zhigang Wu, Hamed Rajabi, Haijun Peng, Jianing Wu
2022 J jnl
Adv. Intell. Syst.
Jie Zhang, Yunge Hu, You Li, Ke Ma, Yujun Wei, Jinzhao Yang, Zhi-Gang Wu, Hamed Rajabi, Haijun Peng, Jianing Wu
2021 J jnl
Trans. Inst. Meas. Control
Xinwei Wang, Jie Liu, Haijun Peng, Xudong Zhao
2021 J jnl
Int. J. Comput. Math.
Mohammad Ali Mehrpouya, Haijun Peng
2021 J jnl
Eng. Comput.
Nizar Bel Hadj Ali, Ziyun Kan, Haijun Peng, Landolf Rhode-Barbarigos
2021 J jnl
IEEE Robotics Autom. Lett.
Zhongzhen Liu, Xingang Zhang, Zhiqin Cai, Haijun Peng, Zhigang Wu
2021 J jnl
CoRR
Ziyun Kan, Kaijun Dong, Biaosong Chen, Haijun Peng, Xueguan Song
2020 J jnl
IEEE Trans. Ind. Electron.
Haijun Peng, Fei Li, Jinguo Liu, Zhaojie Ju
2020 conf
SIMULTECH (Selected Papers)
Lingchong Gao, Yingpeng Zhuo, Michael Kleeberger, Haijun Peng, Johannes Fottner
2020 C conf
SIMULTECH
Lingchong Gao, Yingpeng Zhuo, Michael Kleeberger, Haijun Peng, Johannes Fottner
2019 conf
ICARM
Jie Zhang, Haijun Peng, Wen-Ya Zhou, Jinzhao Yang, Zhi-Gang Wu
2019 C conf
SIMULTECH
Lingchong Gao, Wang Mei, Michael Kleeberger, Haijun Peng, Johannes Fottner
2019 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Xinwei Wang, Haijun Peng, Boyang Shi, Dianheng Jiang, Sheng Zhang, Biaosong Chen
2018 J jnl
IEEE Access
Jie Liu, Wei Han, Chun Liu, Haijun Peng
2018 J jnl
J. Circuits Syst. Comput.
Xin Zhang, Chunhua Wang, Yichuang Sun, Haijun Peng
2018 J jnl
IMA J. Math. Control. Inf.
Chao Li, Haijun Peng, Sheng Zhang, Biaosong Chen
2018 J jnl
IEEE Access
Jie Liu, Wei Han, Yong Zhang, Zhigang Chen, Haijun Peng
2018 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Haijun Peng, Xinwei Wang, Boyang Shi, Sheng Zhang, Biaosong Chen
2017 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Haijun Peng, Xinwei Wang, Mingwu Li, Biaosong Chen
2017 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Haijun Peng, Xinwei Wang, Sheng Zhang, Biaosong Chen
2017 J jnl
Wirel. Pers. Commun.
Chunhua Wang, Haijun Peng, Yi Li, Huai Yang
2017 J jnl
Eur. J. Control
Haijun Peng, Shujun Tan, Qiang Gao, Zhi-Gang Wu
2016 J jnl
Int. J. Control
Shujun Tan, Haijun Peng, Wen-Ya Zhou, Zhi-Gang Wu
2015 J jnl
J. Frankl. Inst.
Mingwu Li, Haijun Peng, Wanxie Zhong
2015 J jnl
Int. J. Comput. Math.
Haijun Peng, Qiang Gao, Zhi-Gang Wu, Wanxie Zhong
2011 J jnl
J. Comput. Appl. Math.
Haijun Peng, Zhi-Gang Wu, Wanxie Zhong
redb/extractors/js_extractors/js_strings.py
← Index redb/extractors/js_extractors/js_strings.py python
import base64
import bisect
import inspect
import re
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.js_extractor import JSExtractor
from redb.extractors.js_extractors.js_patterns import STRING_PATTERNS, line_offsets

# Local aliases for the compiled patterns this extractor uses. Defined and
# compiled exactly once in js_patterns.STRING_PATTERNS.
_HEX_STRING_RE = STRING_PATTERNS["hex_escape_seq"]
_UNICODE_STRING_RE = STRING_PATTERNS["unicode_escape_seq"]
_CHARCODE_RE = STRING_PATTERNS["charcode_call"]
_BASE64_STRING_RE = STRING_PATTERNS["base64_quoted"]
_CONCAT_STRING_RE = STRING_PATTERNS["concat_chain"]

# Tokeniser used inside _reconstruct_concat to pull each quoted part out of a
# matched concat chain. Compiled once at module load (was recompiled on every
# concat match before).
_CONCAT_TOKEN_RE = re.compile(r'["\']([^"\']*)["\']')


class JSStringsExtractor(JSExtractor):

    def __init__(
        self, filepath, log, exporters=None, index_prefix=None,
        known_benign=False, known_malicious=False, source=None, context=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix,
            known_benign, known_malicious, source, context=context,
        )
        self.string_findings = None
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.JS_STRINGS.value

    def _decode_hex_string(self, hex_str):
        """Decode \\x41\\x42 style hex strings."""
        try:
            # Remove \\x prefix and decode
            clean = hex_str.replace('\\x', '')
            return bytes.fromhex(clean).decode('utf-8', errors='replace')
        except Exception:
            return None

    def _decode_unicode_string(self, uni_str):
        """Decode \\u0041\\u0042 style unicode strings."""
        try:
            return uni_str.encode('utf-8').decode('unicode_escape')
        except Exception:
            return None

    def _decode_charcode(self, charcode_str):
        """Decode String.fromCharCode(72, 101, 108, ...) sequences."""
        try:
            codes = [int(c.strip()) for c in charcode_str.split(',') if c.strip().isdigit()]
            return ''.join(chr(c) for c in codes if 0 <= c <= 0x10FFFF)
        except Exception:
            return None

    def _decode_base64(self, b64_str):
        """Attempt to decode base64 string."""
        try:
            decoded = base64.b64decode(b64_str)
            # Check if result is printable text
            text = decoded.decode('utf-8', errors='strict')
            # Only return if it looks like text (>80% printable)
            printable = sum(1 for c in text if c.isprintable() or c in '\n\r\t')
            if printable / len(text) > 0.8:
                return text
        except Exception:
            pass
        return None

    def _reconstruct_concat(self, concat_match):
        """Reconstruct concatenated string parts."""
        try:
            parts = _CONCAT_TOKEN_RE.findall(concat_match)
            return ''.join(parts)
        except Exception:
            return None

    def _find_line_number(self, match_start):
        """1-indexed line number for `match_start`, looked up in O(log L) via
        bisect over `self._line_offsets` (built once per extract() call).

        Replaces the historical `self.js_source[:match_start].count('\\n') + 1`
        which was O(N) per call and quadratic across all matches in a sample.
        """
        return bisect.bisect_right(self._line_offsets, match_start)

    def _scan_text(self, text):
        """Run every encoded-string pattern over `text` and return a list of
        finding dicts. Stateless apart from the per-call `_line_offsets` cache,
        which `_find_line_number` reads — callers must reset it before invoking
        this so line numbers reference the text being scanned, not the previous
        one.
        """
        findings = []

        # Hex-encoded strings
        for m in _HEX_STRING_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_hex_string(raw)
            if decoded and len(decoded) >= 4:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'hex',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Unicode-encoded strings
        for m in _UNICODE_STRING_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_unicode_string(raw)
            if decoded and len(decoded) >= 3:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'unicode',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # String.fromCharCode sequences
        for m in _CHARCODE_RE.finditer(text):
            raw = m.group()
            decoded = self._decode_charcode(m.group(1))
            if decoded and len(decoded) >= 4:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'charcode',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Base64-encoded strings
        for m in _BASE64_STRING_RE.finditer(text):
            raw = m.group(0)
            b64_val = m.group(1)
            decoded = self._decode_base64(b64_val)
            if decoded and len(decoded) >= 10:
                findings.append({
                    'string': decoded[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'base64',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(decoded),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(decoded),
                })

        # Concatenated strings (reassembled)
        for m in _CONCAT_STRING_RE.finditer(text):
            raw = m.group()
            reconstructed = self._reconstruct_concat(raw)
            if reconstructed and len(reconstructed) >= 20:
                findings.append({
                    'string': reconstructed[:4000],
                    'string_raw': raw[:4000],
                    'string_encoding': 'concat',
                    'string_offset': self._find_line_number(m.start()),
                    'string_length': len(reconstructed),
                    'string_raw_length': len(raw),
                    'string_entropy': self._calculate_text_entropy(reconstructed),
                })

        return findings

    def extract(self):
        src = self.js_source
        if not src:
            return None

        # Pass 1: raw source. _line_offsets is keyed off whichever text is
        # currently being scanned so _find_line_number resolves to that text.
        self._line_offsets = line_offsets(src)
        findings = self._scan_text(src)

        # Pass 2: deobfuscated text, when the deobfuscator produced something
        # meaningfully different. Same patterns, but a different surface — for
        # samples where the encoded payload is hidden behind an outer wrapper
        # (e.g. array.join() + eval in Vjw0rm/WSH-RAT) only this pass yields
        # any rows at all.
        deobf_text, _ = self._context.deobfuscated
        if deobf_text and deobf_text != src:
            self._line_offsets = line_offsets(deobf_text)
            findings.extend(self._scan_text(deobf_text))

        if not findings:
            return None

        # Deduplicate by decoded string value (raw pass wins on collision: it
        # comes first in `findings`). A string that surfaces only in the
        # deobfuscated text still gets persisted, which is the whole point of
        # the second pass.
        seen_values = set()
        deduped = []
        for f in findings:
            val_key = f['string'][:100]
            if val_key not in seen_values:
                seen_values.add(val_key)
                deduped.append(f)

        self.string_findings = deduped[:500]  # Limit per file
        # Publish to the shared context so post-loop consumers (notably the IOC
        # plumbing in workers.py) can scrape the decoded strings without
        # holding a reference to this extractor instance.
        self._context.decoded_strings = self.string_findings
        return self.string_findings

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ClickHouseExporter":
            if not self.string_findings:
                return None

            data = []
            for f in self.string_findings:
                data.append([
                    self.sha256,
                    f['string'],
                    f['string_raw'],
                    f['string_encoding'],
                    f['string_offset'],
                    f['string_length'],
                    f['string_raw_length'],
                    f['string_entropy'],
                ])

            column_names = [
                "sha256",
                "string",
                "string_raw",
                "string_encoding",
                "string_offset",
                "string_length",
                "string_raw_length",
                "string_entropy",
            ]

            column_type_names = [
                "FixedString(64)",
                "String",
                "String",
                "LowCardinality(String)",
                "UInt64",
                "UInt32",
                "UInt32",
                "Float32",
            ]

            return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "code_binja_strings_raw"