Malicious PDF — malware analysis report

Static analysis result for SHA-256 25d01bec7f9ede65…

MALICIOUS

PDF

49.2 KB Created: 2020-08-19 15:31:19 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: e284f2e0660acea297b348c76a8cf593 SHA-1: 2d4869a8b53b9a26128d54081129dcd6ddca74a2 SHA-256: 25d01bec7f9ede6524adefbb2fa13adc4706ae9c1a99dc9b677486a64cdb87e6
152 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1204.002 Malicious Link

The PDF contains a link farm and a direct link to a known malicious redirector, ttraff.ru. The document body, though heavily obfuscated, contains the URL https://ttraff.ru/pify?keyword=nabin+babu+odia+song and a reference to an employment form, suggesting a lure to trick users into clicking the malicious link. The ML classifier also strongly indicated maliciousness.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9987

Heuristics 3

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL https://ttraff.ru/pify?keyword=nabin+babu+odia+song
    • http://files.dorebowen.com/uploads/1/3/1/6/131607174/3994866.pdf
    • http://welime.muchnesslife.com/uploads/1/3/0/7/130740558/zumudokoduzaziv_xajozebolutetel.pdf
    • https://cdn.shopify.com/s/files/1/0428/3983/4780/files/employment_form.pdf
    • https://cdn.shopify.com/s/files/1/0437/8047/2984/files/38805311403.pdf
    • https://cdn.shopify.com/s/files/1/0431/8999/3621/files/92307948750.pdf
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/72163988246.pdf
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/tikifulodu.pdf
    • https://cdn.shopify.com/s/files/1/0427/6341/9814/files/77992275102.pdf
    • https://cdn.shopify.com/s/files/1/0430/6662/2105/files/gejagigifumozaf.pdf
    • https://cdn.shopify.com/s/files/1/0433/7542/7740/files/free_iron_maiden_album_download.pdf
    • https://cdn.shopify.com/s/files/1/0429/3728/6812/files/datin.pdf
    • https://cdn.shopify.com/s/files/1/0433/9495/7466/files/33232849369.pdf
    • https://cdn.shopify.com/s/files/1/0432/0549/2904/files/pojok.pdf
    • https://cdn.shopify.com/s/files/1/0429/6055/2085/files/vijaranefuzesoveka.pdf
    • https://cdn.shopify.com/s/files/1/0431/3448/4648/files/pufoluzapamejaluk.pdf
    • https://cdn.shopify.com/s/files/1/0438/1910/6466/files/newivadinozelawexop.pdf
    • https://cdn.shopify.com/s/files/1/0433/8073/6165/files/neural_networks_and_deep_learning_aggarwal.pdf
    • https://cdn.shopify.com/s/files/1

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000865e.bin
7802edaf5b2ba36cf7db8b65b3939568ce929e9493640576eb2ba7ccf5641ba2		 pdf-font-stream PDF embedded font (sfnt) at offset 0x865E 4972 bytes
font_01_sfnt_off0000974f.bin
c1a426f96dcc7e86ae6989d4f3cd6a8c0bda1989bc69dfd1fdf284767fb566d6		 pdf-font-stream PDF embedded font (sfnt) at offset 0x974F 13348 bytes

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